Get smart on IBM Data Warehousing at IBM Insight 2015

A quick reference guide to IBM Data Warehousing sessions for BLU Acceleration in-memory database, PureData System for Analytics and new IBM Fluid Query

by Cindy Russell, IBM Data Warehouse Marketing

IBM Insight is always educational and fun, and this year is no exception. Many IBM technical experts and IBM clients will be presenting on a range of topics. This is an excellent opportunity to learn more about IBM products you already use, as well as products and technologies that you don’t. Here is a summary view of some keynotes, breakout sessions and events to consider as you plan your schedule.

I have included my “editor’s pick” sessions in boldface type. You can use the Insight session tool to find more detail on the sessions that interest you. And for those of you who have already registered for Insight, build your agenda now by logging into ibmeventconnect.com/insight.  Please note that session schedules are subject to change.

General sessions and Data Warehousing overview sessions

  • Data Management Keynote is Monday October 26, from 1 – 2 PM in the Mandalay Ballroom

Monday breakout sessions

  • DDW-3353: The Evolution of Data Warehousing is “Logical”
  • DDW-3361: Shifts in Data Warehousing and Enabling Self Service to Drive More Agile Analytics
  • DDW-2267: Gartner Perspective on Big Data and Enterprise Analytics

Tuesday breakout sessions

  • DDW-3983: Ford is Changing the Way the World Moves With IBM Big Data and Analytics

Thursday breakout sessions

  • DDW-2675: Which Analytic Model is Right for My Data? A Comparison of Modern Warehouse Architectures
  • DDW-2659: The Data Reservoir: More Than Storage, Optimizing Your Data for Insight
  • DDW-2739: Operational Analytics at the Speed of Thought: The Modern Enterprise Data Warehouse
  • DDW-1951: Model Driven Approaches to Consistently Managing and Governing the Logical Data Warehouse

Expo Hall events and demos

In addition to breakout sessions, there will be some informal talks and opportunities to connect with our experts in the Expo Hall. Here are the sessions that apply to IBM Data Warehousing products. For Expo Hall hours click here.

Monday events and information

  • Expo Hall booth number: 860
  • VAL-4125: AMA: How IBM Fluid Query Solves Your Complex Big Data and Analytics Problems
  • VAL-4126: 20m Talk How IBM Fluid Query Solves Your Complex Big Data and Analytics Problems
  • Demo room: FE-06 Fluid Query, DCM-15 IBM PureData for Analytics (INZA), DCM-17 IBM Industry Data Model, DCM-19 IBM DB2 with BLU Acceleration

Tuesday events and information

  • Expo Hall booth number: 860
  • DDW-4031: Meet the Experts IBM DB2 BLU and dashDB
  • Demo room: FE-06 Fluid Query, DCM-15 IBM PureData for Analytics (INZA), DCM-17 IBM Industry Data Model, CM-19 IBM DB2 with BLU Acceleration

Wednesday events events and information

  • Expo Hall booth number: 860
  • DDW-4013: IBM Fluid Query – Unifying Data Access Across the Logical Data Warehouse
  • DDW-4079: Meet the Experts: IBM PureData System for Analytics (Netezza)
  • Demo room: FE-06 Fluid Query, DCM-15 IBM PureData for Analytics (INZA), DCM-17 IBM Industry Data Model, CM-19 IBM DB2 with BLU Acceleration

DB2 with BLU Acceleration in-memory database

BLU Acceleration is in-memory computing technology in DB2 for Linux, UNIX and Windows. If you are experiencing slow reporting on data in structured databases, then BLU Acceleration can help you deliver results much more quickly. Clients report that queries that used to take hours now process in seconds using BLU Acceleration technology!

Here are some sessions to consider:

Monday breakout sessions

  • DDW-2619: What’s New in BLU Acceleration Tips and Insights on the Latest In Memory Columnar Technologies

Tuesday breakout sessions

  • DDW-1202: Implementing a Data Warehouse and BI Solution with DB2 BLU Acceleration, InfoSphere and Cognos
  • DDW-3916: Revitalize your Data Warehouse: Taking Advantage of the Latest Technologies (client presentation from Blue Cross and Blue Shield of Tennessee)
  •  DDB-3593: Scaling Up BLU Acceleration with Consistent Performance in a High
  • DDB-2815: Advances in Analytics Using DB2 with BLU Acceleration on Intel Architecture

Wednesday breakout sessions

  • DDW-1647: A Comparison Between DB2 with BLU Acceleration and Other In Memory Databases
  • DDW-2436: POWER Systems Running DB2 with BLU Acceleration: Delivering Top Performance

Thursday breakout sessions

  • DDW-3665: Wall Street Success Stories of DB2 with BLU Acceleration
  • DDW-2469: How DB2 with BLU Acceleration Helps a Bank Make Money: A Real World Data Analytics Case Study
  • DDW-2972: Apache Spark and DB2 with BLU Acceleration: Making ‘People Flow’ in Cities Measurable and Analyzable

PureData System for Analytics and IBM Fluid Query

PureData System for Analytics is a data warehousing appliance that delivers data service to today’s demanding analytic applications. It is offers built-in expertise, as well as integrated hardware, software and storage capabilities specifically for high performance data workloads. It simplifies procurement, installation and management so you can focus on other high-value projects. IBM Fluid Query is a new addition to PureData that lets you analyze more data sources such as Hadoop and many others for deeper insights. You can also download the Enzee Conference Guide for a list of ALL sessions with PureData/Netezza content here: ibm.biz/enzeeguideinsight

Monday breakout sessions

  • DDW-3366: PureData for Analytics/Netezza Data Warehouse Appliance – Overview and Update
  • DDW-2663: IBM Fluid Query The “Power” Behind the Data Reservoir/Logical Data Warehouse
  • DDW-3500: How a Digital Media Firm Uses PureData System for Analytics, Cognos, SPSS to Hone Creative Marketing

Tuesday breakout sessions

  • DDW-1909: One Query Drives It All Fluid Hadoop in the Unified Data Warehouse
  • DDW-1150: Performance Optimization With IBM PureData System for Analytics, powered by Netezza
  • DDW-1216: Mattel’s Big Data Ecosystem Journey: Beginning The Integration of Unstructured Data
  • DDW-3588: BB&T and Netezza: Practical and Best Practices for Building an Analytics Platform
  • DDW-3094: N3001 001 Mini Appliance The Most Affordable PureData System for Analytics

Wednesday breakout sessions

  • DDW-1164: Business Outcomes and Implementation Strategy for Enterprise Data Warehouse in Healthcare
  • DDW-2150: Integrating BigInsights and PureData System for Analytics With Query Federation and Data Movement
  • DDW-1213: IBM PureData System for Analytics Successfully Changed How the Blackhawk Network Leverages Data
  • DDW-3073: Werner Implements Netezza and Information Server to Enable Smarter Decision Making
  • DDW-1723: Improving PureData System for Analytics Performance at Kimberly Clark
  • DDW-2145: Experian Case Study Conversion From SQL Server to Netezza
  • DDW-2109: How IBM Fluid Query Solves Your Complex Big Data and Analytics Problems

Thursday breakout sessions

  • DDW-3094: N3001 001 Mini Appliance The Most Affordable PureData System for Analytics
  • DDW-3369: Insight Into Your PureData System for Analytics Appliance Using IBM Netezza Performance Portal Tool
  • DDW-2515: Realizing Solutions with IBM PureData System for Analytics
  • DDW-1708: PureData System for Analytics for regulatory reports, what you need on the top of the top technology

Enzee Universe

Don’t miss Enzee Universe on Sunday, October 25th.  Enzee Universe is a conference within the Insight conference dedicated to a full day of PureData – Netezza technology.  This event is free for all registered Insight attendees. Just add sessions 3967 and 3968 to your agendas!

  • DDW-3967: Enzee Universe Part 1 Technical Sessions and Best Practices
  • DDW-3968: Enzee Universe Part 2 Business Update and Product Strategy

dashDB

IBM dashDB is a fully managed cloud data warehouse service. It offers massive scalability and performance through its MPP architecture, and is compatible with a wide range of business intelligence toolsets and analytics. dashDB’s integrated, in-database analytics let you quickly realize more value from your data. dashDB includes aspects of the Netezza and BLU Acceleration technologies.

Use the session tool to search on the dashDB keyword.

IBM DB2 Analytics Accelerator for z/OS

IBM DB2 Analytics Accelerator for z/OS is a high-performance appliance that integrates the IBM z Systems infrastructure with IBM PureData System for Analytics, powered by IBM Netezza technology. The solution transforms your mainframe into a highly-efficient transactional and analytics processing environment.

Learn more about the sessions for this product here.

 

Leveraging In-Memory Computing For Fast Insights

By Louis T Cherian,

It is common knowledge that an in-memory database is fast, but what if you had an even faster solution?
Think of a next generation in-memory database, which is

  • Faster, with speed of thought analytics to get insights
  • Simpler, with reduced complexity and improved performance
  • Agile, with multiple deployment options and low risk for migration
  • Competitive, by delivering products to market much faster

We are talking about combination of innovations that make IBM BLU Acceleration, the next generation in-memory solution.

So, what really goes into making IBM BLU Acceleration, the next generation in-memory solution?

  • The in-chip analytics allows the data to flow through the CPU very quickly, making it faster than “conventional” in-memory solutions
  • With actionable compression, one can perform a broad range of operations on data, while it is still compressed
  • With data skipping, any data that is not needed to be touched to answer a query is skipped over and that results in dramatic performance improvements
  • The ability to run all operational reports on transactional data as it is captured with the help of shadow tables ,  arguably  the most notable feature in the  DB2 10.5 “Cancun Release”

To know more about leveraging in-memory computing for fast insights with IBM BLU Acceleration, watch this video: http://bit.ly/1BZq1lo

For more information, visit : http://www-01.ibm.com/software/data/data-management-and-data-warehousing/dw.html

About Louis T. Cherian,

Louis T. Cherian is currently a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Prior to this role, Louis has held a variety of product marketing roles within IBM, and in Tata Consultancy Services, prior to joining IBM.  Louis has done his PGDBM from Xavier Institute of Management and Entrepreneurship, and also has an engineering degree in computer science from VTU Bangalore.

DB2 BLU in Action at Northwestern Mutual

By Larry Heathcote,

Achieving financial security is a numbers game. Correction, it’s an analytics game. Investment returns go up, and they go down. Risk goes up, and it goes down. Achieving the right balance of returns vs. risk is a never-ending game of analyzing data from countless data sources, and matching data analytics and investment choices to the specific goals and risk profiles of an individual, a family or a business. But it’s a very serious game that directly affects people and businesses today, and what they can do tomorrow.

Northwestern Mutual helps individuals, families and businesses achieve financial security. Through sound analysis of markets, trends, risks and investment options, Northwestern Mutual helps provide a path to wealth accumulation. Serving more than 4.2 million people and businesses, fast and accurate data analysis is the key to success.

The company wanted to improve their already impressive data analytics and provide faster insights to decision makers. They learned about new capabilities provided by IBM DB2 with BLU Acceleration and wanted to put it to the test. Could DB2’s advanced in-memory, columnar technology truly return results at the speed of thought? Could it be deployed quickly to obtain fast time-to-value? Could it perform well in a high volume production environment? Could it provide real value to the business through faster query results?

To find out, Northwestern Mutual brought DB2 with BLU Acceleration into their data center to run some tests. They developed a methodology and a plan to examine DB2’s scalability and performance for both row-based and column-based data structures, and they extended their tests by using real data and real workloads to see how DB2 would perform in production.

The results? Ah, you are looking for the answers…but rather than hear it from me, attend session IWA-6604A “Testing IBM DB2 BLU with Real-Life Workload and Data” (Wednesday, October 29 – 1:45pm – 2:45pm, in the Data Warehousing in the Era of Big Data track), at IBM Insight 2014. See the specific methodology used, how they set up their tests, and most importantly, their findings and conclusions. Don’t miss this real-world application of DB2 with BLU Acceleration using real data and real workloads. Really, don’t miss it…you will learn a lot.

About Larry Heathcote,

Larry Heathcote is a Program Director for IBM’s Data Management portfolio. Over a 20+ year history, Larry has held a number of positions in both startups and F500 companies, with the majority of his time focused on marketing strategy, planning and execution for information management software and systems. He holds an MSEE/CS from Northwestern University and an MBA from Duke University. He is an active evangelist for data management, data warehousing and business analytics, and is a frequent speaker at both IBM and third-party conferences. Larry brings a unique blend of business and technical aspects to his presentations, helping his audience learn why and how technical capabilities make a real difference in business performance. You can follow him on @larryheathcote.

DB2 BLU in Action at Boots UK Limited

By Larry Heathcote,

Businesses cannot operate effectively today without good, timely and accurate insights into data. This is no more true, and important, than in the pharmaceutical industry. Clinical research, drug interactions, patient history and many other considerations are vitally important when the health and wellness of individuals is the goal. And for pharmaceutical businesses, providing the right mix of health, wellness and beauty products to their customer base is key to customer loyalty and long term success.

Boots UK Limited is a pharmacy-led health and beauty chain with approximately 2500 outlets in the United Kingdom and the Republic of Ireland. Healthcare in Boots is not just about dispensing prescriptions, but also about offering expert advice to all patients and customers, ensuring they get top quality patient care in a location that is convenient to them.

Accessing and analyzing data and providing fast insights to internal staff as well as external users is central to providing the kind of services and care that Boots is known for. Boots looked to IBM to help them improve on an already impressive data and analytics infrastructure. Their goal was to provide analytics, dashboards and reports to all pharmacists, care workers and staff to give them the information they need – faster and easier than ever before.

Boots awarded IBM the “Design and Build” project for a new self-service analytics platform. The solution consisted of IBM DB2 with BLU Acceleration software and IBM eServer xSeries hardware.

Session IWS-4217A “The First UK Client Implementation of IBM DB2 BLU” (Tuesday, October 28 from 10:00am – 11:00am, in the Data Warehousing in the Era of Big Data track), highlights how the solution was designed, built and implemented at Boots. The presentation will dive into the process and experiences in delivering the solution, as well as explore the user experience and performance gains of the new analytics platform. Attend this session at IBM Insights 2014 to learn more about how Boots achieved their goals of empowering individuals with speed-of-thought analytics and insights.

Session Details: 

  • Session Title : IWS-4217A: The First UK Client Implementation of IBM DB2 BLU
  • Track: Data Warehousing in the Era of Big Data
  • SubTrack: Data Warehouse Software and Appliances
  • Date and Time : Tue Oct 28 ( 10:00 a.m. – 11:00 a.m. )
  • Abstract: Boots UK Limited is a pharmacy chain in the United Kingdom, with outlets in most high streets throughout the country and in the Republic of Ireland. IBM Software Group Services won the “Design and Build” services project for a new self-service analytics platform. This platform will support the provision of analytical data by using train-of-thought analytics, dashboards and reports to internal staff and external users who are not employed by Boots. The platform is based on IBM eServer xSeries and IBM DB2 BLU. This presentation describes the DB2 BLU solution that was designed, built and implemented for Boots. It highlights some of the challenges associated with the delivery of this platform, especially around user performance.
  • IBM Insight Link to register :  http://www-01.ibm.com/software/events/insight/

About Larry Heathcote,

Larry Heathcote is a Program Director for IBM’s Data Management portfolio. Over a 20+ year history, Larry has held a number of positions in both startups and F500 companies, with the majority of his time focused on marketing strategy, planning and execution for information management software and systems. He holds an MSEE/CS from Northwestern University and an MBA from Duke University. He is an active evangelist for data management, data warehousing and business analytics, and is a frequent speaker at both IBM and third-party conferences. Larry brings a unique blend of business and technical aspects to his presentations, helping his audience learn why and how technical capabilities make a real difference in business performance. You can follow him on @larryheathcote.

What our customers love about our in-memory database technology (And you will too!)

By Rahul Agarwal,

A disruptive technology

Adam Ronthal talks about disruptive technology that has changed the data warehousing and analytic landscape in his blog here.  I would add ‘in-memory’ database technology to this list because it has the potential to “change the way we think about doing things — either because they represent a shift in efficiency, a shift in economics, or ideally, both.”

By relying on main memory for storage of ‘active data sets’, in-memory technology eliminates the latency of moving data across slow-spinning disk storage. Organizations can access to vital information faster than ever before, opening up new possibilities for them to gain advantage over their competition.

In-memory database technology – IBM’s take

BLU Acceleration is IBM’s take on what in-memory database technology should look like. It takes the basic concept of an in-memory database a step further with the inclusion of eight features like in-chip computing, data skipping, analyzing compressed data and more, that make it faster, simpler and more agile. More details about these features can be found in Amit Patel’s blog.

What is the experience of our customers in using BLU Acceleration technology?

The best part about our BLU Acceleration technology is that customers have validated our claims of performance gains, improved compression and reduced time to value.

For example, at University of Toronto, BLU is delivering on its promises; the queries are performing well and great compression results were observed. The experience of Coca cola Bottling Company is similar where BLU Acceleration has helped in speeding the decision making process.

Want to know more?

If you want to know more about the experience of these two customers, you can attend the following sessions at the IBM Insight 2014 conference.

IWS-5729A: IBM BLU Acceleration: Adoption Guidelines and Lessons Learned at Coca-Cola Bottling Company

In this session, you will see Coca Cola Bottling Company’s experience with DB2 BLU, from installation to performance tests. You will also see how DB2 BLU fits into their SAP BW environment.

IWS-5338B: Why the University of Toronto Loves BLU: Faster, Smaller, and Simpler in Only a Few Hours

This session will take you through the adoption cycle of IBM BLU Acceleration at the University of Toronto and the amazing results.

About Rahul Agarwal

Rahul Agarwal is a member of the worldwide product marketing team at IBM that focuses on data warehouse and database technology. Rahul has held a variety of business management, product marketing, and other roles in other companies including HCL Technologies and HP before joining IBM.  Rahul studied at the Indian Institute of Management, Kozhikode and holds a bachelor of engineering (electronics) degree from the University of Pune, India. Rahul’s Twitter handle :  @rahulag80

Is your data warehouse ready to dance?

By Wendy Lucas,

Ag•ile (adjective) pronunciation ˈa-jəl – able to move quickly and easily: quick, smart, and clever1

When I hear the word agile, I think of dancers. Whether it’s a graceful ballet dancer or a fast and nimble hip-hop dancer, dancers are very agile. The thing that would not immediately come to mind would be a data warehouse. Perhaps that’s because I was a BI Consultant 16 years ago advising clients how to build data warehouses and BI applications. There were long cycles of requirements analysis, enterprise modeling, analytic application development, configuration of hardware and software, extensive tuning, administration and a little duct tape. Then, when you got all that done, you iterate and start over because business requirements likely changed during the time it took to do all that.

While those long development cycles made for lots of long-term consulting engagements, they did not lend themselves to responding quickly and easily to business requirements. In short, they were very far from agile.

Along the way, data warehouses became even more mission critical. The amount of data in the world began to explode and insight from that data drove competitive advantage. The drive for competitive advantage drove the need for organizations to adapt. They needed more adaptable methodologies, more flexible architectures, faster to implement technologies, and solutions that were more simple to manage allowing system administrators, DBA’s and developers the chance to spend more time on value–add activity and less time cabling servers together and turning knobs.

In today’s world, agile BI is no longer a foreign concept, it’s a goal some have achieved and others aspire to attain.  The TDWI World Conference in San Diego, September 21-26, 2014 is a conference dedicated to the theme of “Managing Agile BI for the Enterprise.” There are various courses related to agile analytics, data warehouse automation, agile project management, agile architectures and many more. There will also be the chance to learn about technology that enables agile BI such as IBM’s new DB2 Cancun Release.

IBM’s new DB2 Cancun Release takes DB2 with BLU Acceleration, the next generation of in-memory computing, and adds even more features to help organizations become more agile. The ability to take advantage of BLU Acceleration directly in the transaction processing system for “in the moment” reporting is accomplished via BLU shadow tables. Shadow Tables, powered by BLU Acceleration, automatically maintain column-based versions of the row-based operational data in the transaction-processing environment. The database seamlessly routes analytics queries to those shadow tables for reporting directly on the transactional data. Based on internal testing of a sample transactional and analytic workload, performance of analytical queries can improve by 10x or more and your transactional performance may benefit from the removal of secondary analytic indexes. How much more agile could your environment be if you were able to do analytic queries in your transactional system?

The DB2 Cancun Release has Oracle SQL compatibility for low risk migration from Oracle to BLU Acceleration. Other enhancements include even more comprehensive support for SAP Business Warehouse, allowing SAP clients to maintain investments in their existing environments and skills while adopting BLU in-memory database technology. The combination of these features along with “load and go” simplicity, no need for indexes, aggregates or tuning, and flexibility to deploy on premises or in the cloud enables DB2 with BLU Acceleration to provide the database foundation for your agile data warehouse.

Is your data warehouse ready to dance? If not, read more at ibmbluhub.com and join us at TDWI.  IBM Data Warehouse solutions will featured at booth #201 and in a case study at 1:00 on Wednesday in room 313, “New Get Answers You Need in the Moment: Adopting in-memory technology without disruption.”

Register for TDWI and I look forward to seeing you there.

About Wendy Lucas

Wendy Lucas is a Program Director for IBM Data Warehouse Marketing. Wendy has over 20 years of experience in data warehousing and business intelligence solutions, including 12 years at IBM. She has helped clients in a variety of roles, including application development, management consulting, project management, technical sales management and marketing. Wendy holds a Bachelor of Science in Computer Science from Capital University and you can follow her on Twitter at @wlucas001

1http://www.merriam-webster.com/dictionary/agile

Experience Migrating a Data Warehouse from Oracle to DB2

By Larry Heathcote,

I’m really looking forward to IBM Insight2014, and especially to attending the session IWM-6474: “Experience Migrating a Data Warehouse from Oracle to DB2”. I want to see how that migration was accomplished, how long it took, and what benefits were achieved.

I’ve always been interested in mining data to get insights. Insights help me look at business situations in a different light and guide me in making better decisions faster…and in today’s hyper-competitive business climate, it’s all about speed-to-action or speed-to-decision.

But quite often, I find it extremely frustrating that the performance of my analytic queries is just not fast enough. When I have to wait for query results, that wait takes me completely out of my mental state…I have to move on to other tasks and get absorbed in a completely different train of thought. Then, when results do come back, I have to interrupt the next thing I moved to and force myself to get back into the mindset of my original task. Frustrating to say the least, but this negatively impacts my work productivity and that is something I cannot afford.

I’ve heard the claims of xx% faster performance (xx% varies) that many clients experience after migrating their data warehouse environment from Oracle to IBM DB2, and I’ve learned about the business impact that better performance had for users. I get that. Makes sense to me.

What I am really excited about is to see how one of these migrations took place. Call me weird, but I’ve always been interested in what drives change – why change, why now? I’d like to know answers to questions like, what was the tipping point that forced the client to look for an alternative solution? Was it user performance related (like slow queries impacting users like me), was it IT related (too many DBA’s needed to tune performance), or was it application related (too many changes needed to applications every time the data warehouse changed underneath)? I want to see who identified the main issues that created the change.

And then, once the decision to change was made, what process did a client go through to migrate to DB2? Was it easy or hard? Fast or slow? On schedule and budget or over? What “gotcha’s” did the client experience along the way? How easy was it to change applications to the DB2 platform?

These are some of the many questions I have. Call me strange, but I am so looking forward to this session to learn about one client’s real experience migrating from an Oracle data warehouse environment to DB2. Check out session IWM-6474, “Experience Migrating a Data Warehouse from Oracle to DB2” in the Data Warehouse Modernization and Architecture track. See you in Las Vegas at Insight2014!

Session Details: 

  • Title : “Experience Migrating a Data Warehouse from Oracle to DB2”
  • Subtracks : Data Warehouse Modernization and Architecture
  • Session # : IWM-6474
  • Title Abstract : Experiences Migrating a Data Warehouse from Oracle to DB2. Salzgitter AG, one of Europe’s leading steel and technology companies has a data warehouse containing data from their production processes. This data warehouse is called the “Technical Data Warehouse” (TDW) and was originally implemented on Oracle. This presentation shows why Salzgitter decided to move away from Oracle and migrate to DB2.  It will also be demonstrated how the migration was done, what experiences were gained, and the improvements achieved after the migration.         
  • Speaker Info : Sebastian Mundt, Salzgitter AG, Head DWH;Andreas Weininger, IBM, Leading Technical Sales Professional
  • Insight Link : http://www-01.ibm.com/software/events/insight/

About Larry Heathcote,

Larry Heathcote is a Program Director for IBM’s Data Management portfolio. Over a 20+ year history, Larry has held a number of positions in both startups and F500 companies, with the majority of his time focused on marketing strategy, planning and execution for information management software and systems. He holds an MSEE/CS from Northwestern University and an MBA from Duke University. He is an active evangelist for data management, data warehousing and business analytics, and is a frequent speaker at both IBM and third-party conferences. Larry brings a unique blend of business and technical aspects to his presentations, helping his audience learn why and how technical capabilities make a real difference in business performance. You can follow him on @larryheathcote