The Atlantic has a fascinating cover story (They're Watching You at Work) on the way companies are now applying analytics to the recruiting and hiring process. Think of it like Moneyball meets talent management. (And while not mentioned in the article, this is the type of work focused on by Kenexa. You can learn more about the solutions they are offering here.)
Why is this going to be such a big deal?
The application of predictive analytics to people’s careers—an emerging field sometimes called “people analytics”—is enormously challenging, not to mention ethically fraught. And it can’t help but feel a little creepy. It requires the creation of a vastly larger box score of human performance than one would ever encounter in the sports pages, or that has ever been dreamed up before. To some degree, the endeavor touches on the deepest of human mysteries: how we grow, whether we flourish, what we become. Most companies are just beginning to explore the possibilities. But make no mistake: during the next five to 10 years, new models will be created, and new experiments run, on a very large scale. Will this be a good development or a bad one—for the economy, for the shapes of our careers, for our spirit and self-worth? Earlier this year, I decided to find out.
While I highly recommend reading through the whole article for the way video games can predict who will be successful at a company and for descriptions of businesses that are using this today to recruit and hire everything from call center staffers to coders, for those of you in the tl;dr camp, here's The Atlantic's Don Peck discussing his story on MSNBC's Morning Joe.
Full article: They're Watching You at Work
Kenexa: Solutions for a Smarter Workforce
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A quick look at how two companies - AMD and Bosch - are putting social business into action.
An innovative technology company implements a new platform for sales enablement, providing training elements, content management and collaboration tools all in one platform.
Bosch improved business processes and reduced cycle time from 40 to 6 days and implemented IBM's Social Business Platform in four months.
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Rounding out my IOD 2013 General Session coverage, here are my notes from Wednesday's General Session.
The General Session began with a panel discussion of four IBMers whose work with clients across various aspects of the Big Data and Analytics spectrum, and wrapped up with Mark Jeffries interviewing Serena Williams about a variety of topics.
- Gigi Yuen-Reed - Healthcare Consulting Services
- Vijay Dheap - Security Intelligence with Big Data
- Chris O'Connor - Cloud and Smarter Infrastructure
- Ian Story - Enterprise Content Management
Gigi Yuen-Reed - Healthcare Consulting Services
- The changes in US healthcare laws will have a lot of implications. From a data perspective, we're seeing a shift in how you view the data - from company point of view to individual point of view. There's also a change in how risk management works [in the US] - no more pre-existing conditions or lifetime maximums. These changes are removing many of the safeguards that healthcare insurance companies had in the past. Also dealing with situations of no data - previously uninsured. Looking at how turn data into your best friend.
- IBM's Healthcare Consulting Services include teams of research scientists, data scientists, and consultants. They have built out prototypes, and are now deploying solutions to clients.
- They are bringing together client data with public data - 3rd party data, surveys, etc. Combine them with predictive models for a view into cost and enrollment. Need to distinguish signal from noise. Techniques from banking, and other sources.
- They're helping clients get early visibility, so they know what products are working or not. They can also help them be proactive - reach out to high risk individuals for early intervention.
Vijay Dheap - Security Intelligence with Big Data
- The cost of cyber attacks is growing at a 10% clip a year (Gartner), up to 102 attacks per weeks per company (The Ponemon Institute).
- Data professionals try to build bigger walls, but business needs flexibility. Instead, they need to improve their security IQ. Do it via observation - who are the people on your network. IBM QRadar can monitor activity and find anomalies. If there are any bad actors or bad IP addresses, can block them.
- Heuristics - e.g., was the domain just registered today?
- Bringing together QRadar with Big Insights to find the positives while filtering out false positives.
- http://www.securityintelligence.com - blog focused on security intelligence
Chris O'Connor - Cloud and Smarter Infrastructure
- "Bit buckets on the floor" (e.g., today many people are collecting data the way you might put out buckets to catch water from a leaking ceiling) - we've gotten good at instrumenting and getting data, now we need to do something with it.
- e.g., telecom providers have a lot of different pieces of technology coming together to make the network work. They are collecting metrics on each of those of pieces, creating terabytes of log files and unstructured data. Today that data sits in silos and often at best someone looks in individual buckets. Need to be looking at relationships across buckets.
- The goal is to give them tools, mathematics, capabilities to understand how they put it together.
- Consolidated Communications - 80,000 individual streams coming across the network. Predictive Insights product gives them visibility across the buckets and establishes normal mathematical relationships across those 80,000 streams of data so they can reduce the number of buckets that they need to look at, and to bring in a predictive posture in so that they can ensure the service stays online. (See this video for more on Consolidated Communications)
Ian Story - Enterprise Content Management
- Today, when disaster happens, you're much more likely to hear about it from a social network than the evening news.
- Security First Insurance. Using content analytics to do sentiment analysis against social data during disasters. Identifying urgent cases and creating cases in case management system and then sending out agents with mobile devices, or allowing clients to take own documentation with their mobile devices. Can assign it to the right case manager, triage to see who needs assistance first. They can push out documents through IBM QuickFile, and clients can monitor using tool built with IBM Worklight.
After the panel, Mark Jeffries came out to interview Serena Williams, who was quite engaging. It was really interesting to hear her perspective on her approach to the support, being in the spotlight, and how she makes use of technology and data to improve her game.
Some highlights I captured during the interview:
- Mindframe is do best I can, stay positive. Know if do the right things, will have a positive result.
- Practice is the hardest part of the job. Don't see the results in practice...
- What's it like to always be under scrutiny? When lose match, feel like it's usually she could have done better, as opposed to something that her opponent did.
- How do you analyze competitors? When I first started, didn't have as much data or technology to analyze opponents. Would scout opponents, see how they play, but that's it. Now have data - know percentages of where they like to serve or where they like to hit forehand. Data can move tennis players and other athletes to a whole new level. Coach is a big fan of data. Loves to know numbers, exactly what happened, how she did - where serving, where moving, where moving faster to.
- French Open hands IBM packs after every match. When first got it, was just CD filled with numbers. At Wimbledon, give the match (video) as well as data.
- IBM now has the keys to the match (but not until players are on the court). Can go afterwards, though, to see it.
- Advice from father: "You can't rewind time." Have to move on to the next point and do better on the next point. You have another chance.
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We've got two webinars coming up this week that should be quite interesting. The first is on Wednesday, 11/13, and will focus on the results from IBM's Global Analytics Study. Join this webcast to hear how the top global companies have translated analytics insights into real-world results, and how you can extract value out of your analytics investments.
The second, which will be on Thursday, 11/14, will focus on how you can analyze the big data being generated by social media ("Socialytics") to improve customer satisfaction and competitive intelligence.
IBM 2013 Global Analytics Study Webcast
November 13 I 12 pm ET I ibm.co/9leverswebcast
75% of leaders cite growth as the key source of value from analytics. What’s their secret? Join us on November 13 as we explore how these top global companies have translated analytics insights into real-world results. Featuring the study’s survey of 900 business and IT executives from 70 countries, the webcast will show you:
• The nine levers that differentiate top performing analytics organizations from competitors.
• How these levers work together to enable, drive and amplify the value delivered by analytics investments.
• Actions to transform big data & analytics insights into business value.
All in one hour. Don’t miss this opportunity.
Socialytics: Harnessing business intelligence through the power of social media analytics
Date: Thursday, November 14, 2013
Time: 2:00 PM EST
"Socialytics" sits at the convergence of Social Business, Big Social Data and advanced Social Analytics software tools. It is a powerful force multiplier that provides new perspectives and insights on matters that affect many aspects of your organization. "Socialytics" is a powerful business intelligence tool that taps the global social media spectrum for knowledge and information that will help you improve customer intimacy, customer satisfaction and competitive intelligence.
In this webinar, you will learn about:
• Where big social media data comes from and how you can harness it.
• The different types of social analytics tools and their benefits.
• Professional social networking and why it is important as it pertains to Socialytics
• How other organizations are successfully using Socialytics to gain the competitive edge.
What's your social analytics business strategy?
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The focus for the IOD Day 2 general session was on highlighting practical ways people are drawing new insights from data to make better decisions. Below are my notes from today's general session. (And in case you missed it, today's session ended with the announcement that going forward this conference will be known as IBM Insight, held next year Oct 26-31.)
Mike Rhodin, SVP IBM Software Solutions Group
Competing today requires infusing intelligence into the fabric of your enterprise.
It's not just social data on the rise - we're seeing the convergence of social, mobile and cloud, adding in instrumented data fro 19B sensors around the world, along with the growth in enterprise data.
The question is - what's your strategy. Will you be one of the many washed overboard by the next big wave, or do you have a strategy to navigate this sea of data?
We must think of analytics not as a thing that we do, but as a component of everything that we do. It must be infused into every process in the organization, guiding every decision.
Today we're looking at how to democratize analytics, putting it into the hands of people that need it the most, at the time that they need them, in the way they want to use them, regardless of technical or analytics experience.
We are rethinking how we deliver capabilities. Cloud has become a preferred delivery vehicle. True value lies in the ability to accelerate transformation, and particularly true with analytics-driven organizations.
Today we're delivering more than 100+ solutions delivered via IBM SmartCloud
Solutions that are transforming the analytics experience:
IBM Concert - new user experience that blends analytics with social, mobile and cloud
- New, visual user experience
- Personalized, prioritized task lists
- Collaboration and mobile-enabled
- Compatibility with Cognos TM1 on cloud
- Available on cloud December 2013.
Project NEO - Next generation of data discovery
- Doesn't require user to understand language of analytics - ask it questions in natural language and Neo does the rest
- Semantically answers user's question to select appropriate data set and uses analytics to identify the most relevant
- Beta in January 2014
Beth Smith - VP, Business Analytics Products and Solutions
Demonstration of Predictive Maintenance and Quality (PMQ) Solution.
Transform what once were operational challenges into opportunities. For example, a textile company reduced their defect rate by over 50%, and an industrial manufacturer is detecting fraud before it happen.
Step 1 - Capture (at rest, in motion)
Step 2 - Predict by analyzing and doing real-time scoring to predict future outcomes
Stpe 3 - Act on that analysis
Example - A car's telemetry data show that engine is running hot and the timing belt is not working properly. The dealership knows that based on historical data and patterns, it means it's likely that the water pump is about to go. The dealership can alert the owner and order the necessary parts before he even gets there. This is far better for the car's owner than having it break down on the side of the road, and the manufacturer can better forecast inventory needs, minimizing warranty claims.
Real world examples:
- A city gov't decreased the number of poor quality roads by over 50%. They are engaged in proactive predictive maintenance, leading to increased productivity of field workers.
- Mining industry - A mining company in Australia is looking at many indicators to see which equipment needs preventative maintenance, allowing for higher utilization
- Israel Electric - Provides 90% of country's energy. They are now alerted 30 hours before a failure, as opposed to what was just 30 min. They can prevent power outages before they occur.
David Becker, Director, Election Initiatives, Pew Charitable Trusts
Jeff Jonas - IBM Fellow, Chief Scientist, IBM Identity Analytics
Elections in the US have a 48 month business cycle, and yet from a registration standpoint, most of the activity is compressed in a very short timeframe right before the election. This last month is like black friday and the day after Christmas rolled into one and multiplied by 1000.
Part of the reason this is such a problem are the voter lists. In the US, you need to get on the list to go vote on election day. #1 problem of keeping voter lists up to date are moves. 1 in 8 Americans move in a given year, and that figure is 1 out of 5 for younger Americans. Adding to this is that many of the registrations are coming in paper form, adding to the time needed to process them.
- 12.7M out of date records at any given point in time, because people have moved since last election
- 1.8M deceased individuals
- 2.7 Million registered in multiple states (because moved out of state)
- 1 in 3 voters think their records update automatically with each move (it doesn't), and over 50% of voters are unaware they can update their info at the DMV
- 1.2M votes were lost due to registration problems in 2012
- 51M citizens (1 in 4) are eligible but not registered to vote.
They put together a team of experts to look into this. They thought that it might not just be people issue, but also a technology issue, and reached out to Jeff Jonas to see if he might be able to help.
Realized they were talking about the same type of problem that hear about from organizations all the time. It's a problem of understanding context. e.g., You have two records in two states - same name and DOB, but everything else is different. How can you tell if they are the same person or not? It turns out that you can connect that person and address with DMV records in each state, and those DMV records have additional information (e.g., SSN) that can be used to confirm that these are the same people after all.
Utilizes the G2 system, including selective anonymization, so while the system knows the SSN number, it's not human-readable..
(Note: At this point Jeff described what I think might be the best description I've heard of a "one-way hash" encryption in plain english: If I give you a pig and a grinder, you can make sausage... but if I give you a sausage and grinder, can you make a pig?)
There are now 7 states working with PEW for Electronic Registration Information Center (ERIC). Helps states find voters who moved. Helps reach out to people outside of the peak month right before the election.
Results - since started being used in 7 states in 2012:
ERIC was able to identify 850,000 registered voters in the 7 states participating, and over 23,000 dead people who were still registered to vote.
Also actively encouraging people not on roles to reach out to get them to vote. Identified more than 5.7 M eligible but unregistered voters. 300,000 of these registered (pretty high rate since could only reach out via direct mail). Most of them registered using online registration, moving away from paper-based - cheaper, more accurate.
Paper registration transactions costs $0.83 to process, but online registration costs only $0.03. Allows public officials to redirect that money to better uses.
G2 is available inside of SPSS Modeler Premium.
Manoj Saxena - GM, IBM Watson Solutions
Watson represents what we consider to be the 3rd generation of computing.
- First generation - counting, tabulating systems
- Second generation - calculating - programmable systems
- Third generation - reason and learn - Cognitive Systems Era
At the heart, Watson does three things
- Understand natural language at scale. (e.g., Watson could consume and understand 200M pages of data a second). Now Watson can understand a question up to 20 pages long, not just 3 sentences like in Jeopardy
- Generates and evaluates evidence-based hypothesis - not just response, but scoring the possible responses for you.
- Adapts and learns from interactions of user selections and responses. (Cognitive systems gain value over time.)
Watson in Healthcare:
- Training Watson on cancer: 25,000 case scenarios, 2 million pages, 15,000 hours of training
- It used to take researchers 3 years to take genomic data and create a new cancer therapy, and after Watson, they think they can do that in 10 months.
Expanding Watson beyond healthcare to areas such as call centers
- Customers are concerned that we're sharing more information, but call centers we call know less about me.
- Watson Engagement Advisor - services offering within Smarter Commerce. Tremendous response from customers
Next in 2014 for Watson:
- Cognitive cloud and API so you can start writing apps against it.
- Next big challenge for research: Today, Watson is operating at the level of a first year medical resident. Next want it to take US licensing board exam. They've started working on it, and are in striking distance.
Fred Balboni , WW Business Analytics and Optimization Leader, IBM Global Business Services
Is there a blueprint that we can use to create value from analytics.
30,000 engagements over past few years.
Found 3 common components that have led to success in analytics programs.
- Strategy: Sponsorship, Source of Value, Funding
- Technology: Expertise, Data, Platform
- Organization: Culture, measurement, Trust
Karen Etzkorn, CIO, HSN inc.
- $3.3B direct to consumer retail portfolio that includes HSN and cornerstone portfolio brands
- Reaches 95M homes
- Most important trend in online retail is with data and analytics. retailers who understand what buyers want, how they want to buy and engage will be successful. Want to create boundaryless retail (not omni-channel).
- In midst of shift in what retail even means. Driven by consumer and redefined by technology, social networks, and mobility.
- Must invest in capabilities to efficiently and effectively filter the data without being driven by noise.
- Transform culture from being data rich and information poor, to one that leverages real time insights to drive lifetime loyalty.
- Create enterprise wide view of the customer
- Develop advanced analytic capabilities to understand/anticipate needs
- Optimize each interaction
New name for the conference going forward will be: IBM Insight. Oct 26-31, 2014
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Here are my notes from today's IOD 2013 ECM Keynote. My key takeaways: This is about moving beyond the old way of thinking about content management (store, secure, retrieve content. ) and move to focus on how you can discover, recognize and act on insights from your content. It's about moving to a spectrum of services that extend beyond the repository, giving you the ability to do analytics, collaborate and understand all of your content.
Doug Hunt, ECM Business Leader
Content is at the core of how you run your organization
We define a moment of truth as the point where your organization touches an existing or potential client. You've got one shot to meet or exceed your client's expectations. It's in these moments that you're putting content to work for you.
Are you working for your content or is your content working for you?
- Does your content alert you when there's fraudulent activity, or does it sit silent?
- Has your content been taken hostage by hoarders?
- Does your content bottleneck your ability to get paid for products or services?
We call this Smarter Content. This is the only type of big data that captures what we feel, what we know to be true.
ECM's historic paint points are well know (adopted from AIIM trendscape on market dynamics):
- Lack of ease of use
- Understanding value of content
- Not enough ROI
We have been focusing on engaging with you, listening to your feedback, and have new innovations that can help you avoid these obstacles in the future. We have tackled these pain points directly
- Ease of use: enhanced usability, accuracy and insight:
- Content Navigator - Just released 3rd release. Modern, slick user experience. Doesn't matter if on desktop or mobile device. We've built the most frictionless mobile environment, entitled for current customers.
- Content Foundation
- Daeja Image Systems - Exceptional viewing experience regardless of which file type you're using. Mark up, redact - same experience whether
- Harness value of content
- Data discovery, governance of disparate and distributed content. Can find all the places your content is being hoarded, regardless of repository
- Information Economics
- High-Value Solutions
- Advance IP - manage and monetize intellectual property.
- Intelligent Investigation Manager
- Patient Care and Insights
- Cloud-based partner solutions - e.g., Pyramid came out with solution leveraging case management capabilities in the cloud
Goal - Move beyond old way of thinking of content management (store, secure, retrieve content. ) and move to focus on discover, recognize and act on insights from your content.
IBM is leading market in growth and market share by almost 2:1.
John Murphy, VP of Product and Strategy
In the past, we were limited because there weren't tools that let you have both flexibility and insight. That's changed.
- Announcing IBM Case Manager 5.2
- Built on the Content Navigator experience platform
- Innovation that makes decisions easier
- Vastly simplified deployment experience
- 10-35% performance improvement
- Hundreds of new features
- Major improvements to the development environment
- Reduced footprint: Fewer servers, tools.
- Support for WebSphere and WebLogic
Major activity over the last 12 months
- 20 worldwide development labs
- Produced 21 products so far
- 12 more releases coming this quarter
- 2 Acquisitions: Daeja Image systems and Stored IQ
- Not just next UI - single architecture and modeling layer that lets us expose these features on the Web, Mobile and Desktop, regardless of where the content is.
- Integrated it with Datacap and Case Manager
- Best-of-breed social content
Content Essentials: More value, less footprint
- Lowering cost of ownership with Content Platform Engine
End result: A more power platform
StoredIQ - reduce costs and risks with governance
- Integrated but not dependent on the content stack from IBM.
- Gives you ability to get data about your data in the wild - regardless of where stored, what format. Gives you visualization across the environment - what belongs in the repository, what belongs in the trash.
Rudy Montoya - CIO, Texas Office of the Attorney General
- Victim compensation - payer of last resort for victims of violent crime. Over 700,000 cases, and grow at 125 per day. Important that be compassionate, deliver timely services, and are courteous. Had aged system that was very one-dimensional. Was 12-13 years old, provided only a simple view of images.
- Went from one-dimensional system to one that is prepared for the next generation of knowledge workers and knowledge users. Now have full workflow, records management, with end goal being end constituents can access their case and see what's going on.
- Went live on February 4th. Implemented a cloud solution. Came in on budget and on time. Was transparent to end users - converted all the cases and went extremely well.
- Where going from here: Expanding to new line of business with legal case management. Now that have from statewide perspective the economic loss, fraud, etc. offers new possibilities for use, sharing across the state, etc.
Adele Carboni - Head of Policy and Information governance, Hess Corp
- Partnered with StoredIQ to get better view into data repositories. If are going to take action against that content, need to understand what that content is. What realized about our big data is exponential growth were experiencing, understanding content, and appropriate action. A focus was anything was that any action took had to be defensible. Looked to partner that would help take defensible action, whether it's moving around (with metadata staying with it), or deleting it.
- Going through some divestitures that have incredibly short timeframe. Had to quickly gain insight into documents to see which contained personal information and which didn't. Over a weekend, harvested data and were able to gain that insight into it. Have heatmap where can look at data and see story of your content. Can dive deep into certain areas. Tremendously reduced time over manual process, while also giving more confidence in what are going to hand over.
- Another example - business unit was looking for particular well information, but didn't know where it was - could have been over multiple servers. Had already done harvesting of pre-data, so could quickly and easily tell them where it was.
- And none of this was the reason why bought the product. Was looking at retention issues, and had a lot of duplicate data and non-records, as well as a lot of documents that had met retirement. As business learns more about it, are reaching out to them.
- Advice for others: Applying retention schedule to unstructured content... very personal thing for users (their email, their file shares). Have gotten executive level support for what are doing, continuing to go back as needed. In some cases, changed information to read-only, in others "black holed" it... Put it somewhere where only IT can access, to prove to users that they're not really using it.
Mark Sauceman - SVP & Business Information Officer, US Bank
- In 2012 had opportunity to start new service offering that hadn't been offering before. Customer wanted end to end receivables management capability. Didn't have technology to extend that. In reviewing options, Case Manager offered flexibility to make that happen, delivered in 5 months.
- Have taken what learned in first implementation and built another solution with Case Manager, called Customer Express. Track any issues or service request that a customer may bring to them, across all channels. There's a user interface that can be used, as well as web service so can link in to existing applications.
- Next steps: ECM team supports every business line in the bank. Challenge is to bring to bear new business capabilities and at a lower cost. Established new ECM strategy for the bank, and goal is to provide frameworks for the bank. Feel like we're well positioned to meet the growing needs to the bank going forward.
- Best Smarter Content Solution: Memorial Healthcare System (Partner: IMC)
- Best Mobile Smarter Content Solution: Union Bank (Partner: Imagine Solutions and Pyramid Solutions) - leverage DataCap and Content Navigator to initiate cases from mobile devices, and allow clients to scan own forms
- Best Content Analytics and Big Data Solution: CNS - Mexican Federal Police (Partner: Dumago USA IBM Software Services)
- Best Information Economics Solution: Hess Corp (IBM Software Services)
- Best Case management Solution: Texas Office of the Attorney General (Partner: Adjacent Technologies)
- Smarter Content Enterprise Leadership: AT&T (Partner: Ventera Corporation) - Leveraging content analytics to improve customer service, and also save $200M in storage costs over next several years.
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Here are some videos that tie into what was shared today at IOD. The first highlights the way in which Dnihan Hospitality is using IBM Business Analytics to get closer to their customers (more details available here), while the second was run at the start of the ECM Keynote this afternoon.
Denihan Hospitality uses IBM Business Analytics as a Competitive Advantage
Big Data and Analytics is the Next Natural Resource
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Here's a collection of the announcements IBM today at the first day of the Information on Demand 2013 today. There are a number of exciting releases, and I always enjoy reading about the ways our clients are able to put this technology to work in ways that range from improving customer satisfaction to reducing fraud to - literally - helping save lives.
Emory University Hospital Explores 'Intensive Care Unit of the Future'
Emory University Hospital is using software from IBM and Excel Medical Electronics (EME) for a pioneering research project to create advanced, predictive medical care for critical patients through real-time streaming analytics.
Emory is testing a new system that can identify patterns in physiological data and instantly alert clinicians to danger signs in patients. In a typical ICU, a dozen different streams of medical data light up the monitors at a patient’s bedside – including heart physiology, respiration, brain waves and blood pressure. This constant feed of vital signs is transmitted as waves and numbers and routinely displayed on computer screens at every bedside. Currently, it’s up to doctors and nurses to rapidly process and analyze all this information in order to make medical decisions.
The system being piloted at Emory uses EME’s BedMasterEX, IBM InfoSphere Streams and Emory’s analytics to collect and analyze physiological patient data in real time.
For example, patients with a common heart disorder called atrial fibrillation (A-fib) often show no symptoms, but it is a common and serious condition that can be associated with congestive heart failure and strokes. Using the new research system, Emory clinicians can view a real-time digital visualization of the patient's analyzed heart rhythm and spot A-fib in its earliest stages.
Memorial Healthcare System Taps IBM to Prevent Vendor Fraud, Reduce Operating Costs
IBM today announced that Memorial Healthcare System is using IBM Big Data analytics and Smarter Content management capabilities to prevent fraud and reduce costs across its extensive third party vendor network.
With its new vendor vetting system, the second largest public healthcare network in the U.S. not only minimizes the potential for fraud, but also reduces vendor invoice cycles by better understanding its vendor community and identifying potential conflicts of interest.
The vendor vetting system, known as VETTED, was built based on Memorial Healthcare System’s existing enterprise content management platform from IBM and business partnerInformation Management Consultants (IMC). By adding IBM i2 analytics capabilities, Memorial Healthcare now has greater visibility into its vendor community and accounting staff can complete vetting activities within a few hours. The system’s analytics connect the dots among vendor companies and between individuals, vendor companies and physicians to help uncover potential fraudulent behavior.
The ECM application automatically routes invoices through a verification process that uses a hierarchy of people responsible for ensuring that the hospitals deliver products and services according to contract. The system has an audit trail to indicate that the appropriate person signed each invoice. Memorial Healthcare can control when they pay specific vendors and the process is auditable. Faster invoice processing has led to vendor discounts of more than $2 million.
IBM Expands Big Data Portfolio with New Predictive Intelligence Software
Today, at Information on Demand Forum (#IBMIOD), IBM (NYSE:IBM) announced a variety of new offerings that leverage cognitive computing and predictive analytics technologies to help companies more easily predict and respond to opportunities and challenges hidden in data. IBM is also helping clients to harness massive amounts of data with new high speed analytics software by expanding IBM's BLU Acceleration portfolio.
Organizations typically discard or archive IT operations data, preventing them from tapping a valuable business resource. Now with IBM SmartCloud Analytics - Predictive Insights, they can sift through terabytes of IT operations data in real time, spotting only the trends that are critical to IT network performance. The software’s cognitive computing capabilities learn, reason and sense an organization’s IT systems. As business and performance conditions change, the software adapts, updating settings and eliminating inadvertent but costly errors caused by poor system configuration. This new technology will run on the SoftLayer infrastructure, which will be the foundation of IBM's cloud portfolio.
IBM is also applying machine learning and analytics to storage with a new version ofSmartCloud Virtual Storage Center. Now, organizations can save time and money by automating complex storage tiering decisions and moving to cloud storage. By analyzing data usage patterns, this intelligent software identifies the type of storage best suited for an organization’s data, and automatically makes the change without interruption to the user or applications. The software learns key usage patterns over time, adapting and shifting data as business needs change. IBM deployed this automated storage tiering capability at its own Boulder, Colorado data center and reduced per terabyte of storage costs by nearly 50 percent.
Additional new technologies announced as part of the IBM Big Data portfolio include:
- New Big Data exploration capabilities for InfoSphere Data Explorer, a search-based Big Data exploration tool that helps clients distinguish different forms of data through data exploration and discovery, and helps clients visualize structured and unstructured data from multiple diverse sources.
- The first commercial search offering designed to keep pace with today’s Big Data and cloud-based systems, while still delivering information from traditional enterprise systems such as relational databases, enterprise content management and customer relationship management solutions. InfoSphere Data Explorer brings Big Data out of the lab and onto the desktops of front-line employees, allowing organizations to enhance the customer experience.
- InfoSphere Data Privacy for Hadoop allows clients to anonymize data in Hadoop, NoSQL and relational systems. With data activity monitoring capabilities, the technology can also help organizations prevent unauthorized access of confidential information stored in Hadoop systems.
- IBM PureData System for Hadoop simplifies deployment of Hadoop systems by allowing users to get up and running in hours, rather than days or weeks. Enhancements include built-in archiving tools, simplified administration and higher levels of security than open-source systems. In an audited benchmark conducted by STAC, the Securities Technology Analysis Center, InfoSphere BigInsights for Hadoop has been found to deliver an approximate 4X performance advantage on average over open source Hadoop. This is a critical milestone for clients in a variety of industries who are looking to visualize, access and analyze Big Data to stay competitive.
- The release of an Information Governance Dashboard, which displays confidence levels in data sources in a business-friendly interface. Decision-makers can see confidence levels in their data visualized in a user-friendly way, such as governance policies and data lineage, which fosters trust and greater usage of data and insights.
- A new, smaller configuration for IBM PureData System for Transactions for continuously available transactional databases. The new model offers the same leading performance and appliance simplicity for a fully active, highly available and scalable database platform for the Big Data era.
IBM Big Data and Analytics Translates into Big Hotel Room Bookings for Denihan Hospitality Group
IBM (NYSE: IBM) and Denihan Hospitality Group, a nationally recognized owner and operator of boutique hotels across the U.S., today announced that they are collaborating on a Big Data project by applying advanced analytics technologies to enhance strategic planning. This impacts multiple aspects of the business, from improving the guest experience, and personalizing marketing campaigns, to boosting productivity of the revenue management team across Denihan’s 14- hotel portfolio.
By applying IBM's analytics technology to Big Data, Denihan can now sift through massive amounts of information -- from customer feedback to room price, length of stay and more -- to understand why customers choose their hotels and why they choose to return. By taking the pulse of guests' likes and dislikes, Denihan can also fine-tune its marketing campaigns to engage customers on an individual basis, reinforcing this notion of the "era of you" in the hospitality industry.
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As I've done the past few years, below are my notes from the IOD 2013 opening general session. Please see my other posts for more details and links on today's announcements.
What does big data look like? Sometimes it gets described as spreadsheet, or maybe the ubiquitous tunnel of 1s and 0s. Instead, he prefers to think of it this way. Go back to 2000 when renting movies meant going to a retail rental store, with no idea if you're going to find the movie that want, with no ability to see ratings or reviews, and so on. And compare that to our options today.
Another example he gave of big data in action is a chart comparing the prevalence of the flu as reported by people mentioning flu-like symptoms on Twitter vs. the much more extensive (and expensive) tracking done by the CDC. The graphs follow very similar patterns... with Twitter often leading the CDC results by about two weeks. (Note: It looks like this is the research he referenced: You Are What You Tweet: Analyzing Twitter for Public Health, by two researchers from Johns Hopkins University. And while Twitter likely won't have the robustness needed to replace something like the CDC tracking, it certainly is an interesting comparison to make.)
Moving on to other kind of possibilities offered up by Big Data, Jake mentioned a recent hackathon that produced some interesting solutions, but for the most part focused on solving problems that are important to data scientists (e.g., finding a better parking spot). Now, what can happen when you combine that capability with people who are doing things like finding water in developing countries. There's a lot of data out there - how do we put it to use?
DataKind is a non-profit connecting pro bono data scientists with social organizations. Things that might be easy for people in the room we are in can be transformative for organizations that don't have those skills. For example:
- DC Action for Kids. They have a lot of data on child well-being, and teamed up with data scientists from the Washington Post and World Economic Forum. Together, they turned largely incomprehensible rows of data into an interactive map of child well being across the city.
- NYC Parks - Wanted to know if the things they're doing (e.g., cutting down tree limbs) actually make a difference (e.g., preventing future problems). They were matched up with a data scientist from a NY ad agency, and found that there were 32% fewer emergencies reported in areas where they had pruned trees compared to those where they hadn't..
- The World Bank - teamed up with data scientists to look at food price data. They scraped supermarket website and mobile shopping apps to track prices for a basic 2000 calorie diet across Africa. They also looked at rice prices. Now they're looking to see if the amount of light visible from satellites at night can help them track progress against poverty..
Jake concluded by pointing out that at this point, we're just limited by our creativity. The data is there, technology is there. How are you going to do it to transform your business, your industry, your world?
Robert LeBlanc, SVP, Middleware Software
35% of those in auditorium are here for the first time.
When look at technology transforming businesses:
- Enterprise Mobility
- Cloud Computing
- Big Data and Analytics
- Social Business
These are all enablers:
- Enabling us to be much more client centric
- Insight-driven - Embracing the data, don't fight the data.
- Forge deeper relationships - just like in personal lives, gives us better insights into individuals and customers
- Constantly Adapt - We're still at the cusp, only seeing the tip of the iceberg. We need to help our businesses change.
There are a lot of untapped resources out there. Data for data's sake - that's interesting. But if we can analyze and get insight, we can really change things.
It used to be I was valuable for what I knew. Now I'm valuable for what I share. The end goal is increasing value for clients and employees.
When think big data, don't just think volume. Think about variety - unstructured data, and especially the impact of social data. Think about velocity - real-time data. You want to be forward looking, not driving but what see in rear-view mirror. You want to be able to react to what your clients want. Think about veracity - think about the quality of all the data that's out there. Make sure you're making decisions with the knowledge of what that data is and where it came from.
Big Data and Analytics is enabling the next generation of systems. "Systems of Engagement" open up a new set of interactions. It allows you to add value at every single point of that interaction, whether with employees, clients, potential clients. When you bring that together with Systems of Record you get a continuum of Systems of Interaction.
Why act now? According to a recent study:
- 75% of clients cite growth as the key source of value from analytics
- 46% of respondents were impact by a cyber security breach over the past 24 months
- Only 1 in 5 organizations allocate more than 50% of IT budgets to new projects
From Nationwide Mutual Insurance Company- VP of customer analytics, Wes Hunt
- Nationwide sells full range of auto, home, commercial insurance, life and retirement
- How deliver promise of "on your side" to consumers?
- It means: We know you, we care about you, we're easy to do business with. These are consistent across categories and all members. Strive to know you as if you are only member of the company.
- Made decision in 2008 to deliver on seamless customer experience across all channels and touch points.
- Where did Nationwide start?
- Started with Info Mgmt foundation, then realized that to deliver on the promise, every front line representative needed history on relationship. Had 27 different front-end systems. When integrated this info, though, unlocked power of amazing insights.
- Today, have learned that big data without analytics is an extraordinary tax on organization, and analytics without big data will likely lead to wrong conclusion. Made realization that are better together.
- Why did Nationwide pick IBM?
- Use IBM MDM platform to house customer info. SPSS for predictive modeling. IBM consulting to help design, build and implement the solution. Did with great partnership. Can't tell where IBM starts and Nationwide ends.
- Is there payback?
- Focused analytic agenda on understanding and instrumenting critical moments of truth in customer buying journey. Today, have 360 degree view of customer information with deep insights based on behaviors and actions that improve performance. Integrated across internet, call center and local agents. Rated #1 in customer experience in recent study. Have seen substantial gain in what see as most important measure - customer satisfaction.
- What Nationwide learned:
- Build strong data foundation, one that will handle change. 5 years ago didn't know every problem that would need to solve.
- Grow your talent. We don't have enough talent to solve all the problems, and people are the ones who yield results.
- Big data and Analytics is not a corporate strategy, but rather is an enabler of our strategy. Find the cross-hairs and stand in the middle.
- Secret ingredient for success is trust. Trust takes 3 forms: Trust by end users in the insight. Trust by analysts in the data. Trust between business and IT. Trust is the bridge between insight and action.
How do pharma reps determine which doctors to visit? Historically, visit doctors that already prescribe their medications.
Next best action, with mobile data. Combined doctors with high propensity to prescribe more medication with geographic location.
400% ROI in first year
GM Business Analytics - Les Rechan
GM Information Management - Bob Picciano
Here to talk about our performance - continuously transform our organizations.
Over past few months, spent time with over 1,000 clients to find success factors for analytics.
1. Infuse culture of analytics everywhere in the organization - Imagine It
2. Platform for big data and analytics - Realize It
3. Security, privacy, risk - Trust it
Imagine it - infusing analytics everywhere
- Will need 20% increase in skills. Only 1 in 10 organization have skills they need
- Roles - City of NY have announced chief analytics officer.
- Mastery - Analytics quotient of departments and enterprises
Realize it - Curate all big data and prepare it to be analyzed
- Need new architecture for the 4 v's.
- IBM has combined that entire big data and analytics platform in one big vision.
- Data in motion is like being able to stop time on transactional information. That's what infosphere streams does - stops time for data in motion to apply analytics to that data and then move forward
What we can deliver:
- Automated stack report that looks at speed and capability of various infrastructures. 4x performance of anyone else's Hadoop environment out of the box
- DB2 BLU + Power + Cognos BI. 38x average acceleration of database quires for reporting
Need platform that means you can trust the data, that you can ensure privacy and security of everything you're doing. Make risk aware decisions - model exposure and understand variability.
Capabilities that delivered throughout course of the year.
April - Announced BLU acceleration capability. Breakthroughs in columnar processing.
May - Great advances with Watson.
September - Governance, visualization of
Other acquisitions Star Analytics, Daeja, The Now Factory
IBM Cloud now hosts more top websites than anyone else in the world. Cloud now gives customers more ways to customize their websites than anyone else.
Announcements at IOD
- InfoSphere Data Privacy for Hadoop platform - data privacy, masking, protection for Hadoop.
- Petabyte Scale Exploration for InfoSphere Data Explorer
- Write Once, Run Anywhere SQL
- Analytics for System z
IBM Optimizes Infrastructure for Consumability
- Fast on Fast Analytics - BLU Acceleration - Power Systems Edition
- Accelerated Deployment - BI Pattern with BLU Acceleration SPSS Modeler
- IT Operations Analytics - SmartCloud Analytics Predictive Insights
- Security Intelligence - Event Management early access Program
Redefines Analytics for the Cloud
- Agile Warehousing - BLU Acceleration for Cloud Early Access Preview
- Performance Mgmt and Risk Analytics
- Next Generation of Data Disocverty
- Content Manager
Project Neo - next generation knowledge discovery - natural language, guide the user
Helping with skills:
- Research facilities so you can bring your data in and use best minds in data scientists to gain insights. Have opened 9 analytics centers around the world to let clients come in, leverage resources, do proof of concept work. Over 9,000 consultants with over 30,000 engagements in 170 countries around the world.
- Over 1000 univ partnerships and new talent initiative. Over 2,500 business partners. Over 100,000 people have accessed analytics zone
VP of Big Data Integration and Governance, Inhi Cho Suh
US Tennis Open is the largest annual sporting event in world. 700,000 people in NYC, 200 countries broadcast around the world.
What was USTA hoping to achieve?
- They asked us to help us create world class experience as dynamic as live event, across all digital platforms
- Mission of USTA is to grow the number of people watching and participating in the sport of tennis. Offer a chance for fans and players to share love of the game.
- For the fans:
- 2 million unique visitors visited the site (most during the 2 weeks of the event). 53 million visits, 419 million page views.
- Hottest new applications is called slam tracker. Allows fan to be in the driver seat - play with match data along with prior data.
- Leverage SPSS to mine 41 million data points from 8 years of grand slam data. Determine 3 keys for each player before going to upcoming match.
- They would only release it once players got ready to go on court so as not to influence the players
- Operations behind digital experience. Brian O'Connell - Senior Tech Staff Member, IBM Continuous Availability Services
- Looking for ways to reduce operating costs. Previous methods were spreadsheets with year to year growth, and not keeping up with growth in mobile and social.
- How handle variability?
- Embraced uncertainty. Every day in live sports is different than the day before. Predictive cloud continuously forecasts needs and adjusts provisioning using analytics.
- Example - looking at snapshot in time for this year's US Open. Don't actually know the times of play. Forecast based on social input, weather, etc. Use InfoSphere Streams to ingest social conversation around US Open to find instantaneous changes in player popularity.
- Also using IBM BigInsights to look at text analytics across entire website. Which players are being talked about most (or even weather delay). Will tell how popular each player is and therefore might say how much provisioning would need when that player plays.
- More than 95% accurate
- Application in other industries
- Retial, insurance... even financial arbitrage
Next turn to different industry - healthcare panel:
Dr. Timothy Buchman - Emory Critical Care Center
Matt Muhart - EVP, CFO Memorial Healthcare System
Buchman - Pressured to deliver better, safer care at lower costs. need to find a way to do that
Muhart - One of largest public healthcare system in country. Significant downward pressure on revenue streams and demand from public to see more transparence on pricing and outcomes
Muhart - Suspected fraud among vendors, hired investigators and found individuals that had created false front companies and were rigging the bidding. After confirmed suspicions, brought in FBI and IRS. Netted 12 people who pled or were found guilty.
Started first foray into big data. Was manual. Had a firm come in and evaluate vendors - who they were, if they were related to any employees, if they were related to each other, any criminal background. Manual process was overwhelming and too costly. Team was gathering binders of data and realized that likely had red flags that missed.
Reached out to IT consulting firm, and asked them to build system for them. System searches 800 diff. databases, employee database, vendor db, and flags anything that could be possible conflict of interest. have precluded a number of vendors for a variety of reasons.
ROI? Bad guys required to pay $2.6M in restitution, and actual fraud likely exceeded that. The risk to reputation is significant, too, as a public health organization.
Buchman - Go to a bedside and see a patient in critical care bed, have 6 different IV pumps, streams of data coming off all of the sensors. No person can possibly make sense of that. Looking at how can comprehend all that data and forecast it.
Muhart - Underlying tool was underlying development with law enforcement
Buchman - three reasons:
- Research infrastructure of IBM
- Partnering not just with us, but with third party on how to pull data in
- Analytics itself - no other engine out there like InfoSphere Streams to grab data in motion, analyze it, and deliver to care givers who need it.
What do you envision next?
Muhart - Going from compensation based on what do to compensation to how healthy community is. Focusing on how to identify where issues are and fix them to keep people from coming in
Buchman - Imagine if knew what most valued based drug was to deliver to that specific patient. Imagine if knew how long that patient would need to be in unit. Imagine if knew what device they would need and get it there just when need it. And if all that goes into database so that can deliver better care tomorrow.
What advice have for audience?
Muhart - Data is a very lazy asset.. It needs to be taken to gym, exercised to be sure you get value from it.
Buchman - Get to the data, know it's out there, go to silos in org and imagine how might putt i together in new ways.
If you're sitting in the audience and wondering "Do I really need to take advantage of Big Data and Analytics" is kind of like sitting in the '90s saying "Do I really need to take advantage of computers?"
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"It's the most exciting change that's happened in the past 21 years for law enforcement." -- Tony Landato, Sgt, Mesa Police Department
The Mesa Arizona Police Department has made great strides in reducing crime rates. As you can see first-hand in the video above, they are using the IBM i2 COPLINK system to put data into the hands of officers on the street and analysts at headquarters.
Over on the Smarter Planet blog ('Bringing Big Data to Bear on Crime'), Robert Griffin, Vice President, Industry Solutions, IBM, shares some of the other successes that COPLINK has had.
Easing and speeding information sharing across jurisdictions continues to be a key focal point for agencies across the U.S. and around the globe. One such tool used by thousands of jurisdictions is IBM i2 COPLINK. This lead generation tool quickly analyzes seemingly unrelated data from sources residing across multiple jurisdictions, to help law enforcement agencies create integrated solutions.
The COPLINK system helped the Mesa, Ariz., Police Department reduce crime rates by 25 percent.... IBM i2 analytics technology helped the Durham, N.C., Police Department reduce the amount of violent crime in a two square mile region of the city by more than 50 percent during a four-year span from 2007-2011. How? Based on historical data, they created an intelligent database, where they could access and visualize data that showed relationships across people, places and other entities.
If you are interested in learning more about how COPLINK can help your community, you can request more information here.
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