Data / Analytics Strategies


Strategies to help leverage full value from your design and implementation of an effective Business Intelligence / Analytics / Big Data framework.


November 21, 2019




7 CPE / 0.7 CEU / CISSP / 7 PDU Credits Awarded


Conference location: Donald E. Stephens Convention Center Rosemont (O’Hare) Illinois




Data is the lifeblood of every business, but to empower the organization, it needs to be used carefully and strategically. How can IT leverage BI initiatives to become a stronger partner and ally to business units? What pitfalls should be avoided?

What You Will Learn


In this one day conference attendees will learn:

  • Accelerating Transformation & Adapting to the Business
  • Accelerating the Evolution of Data Analytics
  • How to Build a Modern Data Analytics Platform
  • Developing Data Literacy within your Organization
  • The Last Mile: Designing a Presentation Layer that Delivers
  • Make Your Next Data Warehouse Your LastStrategic Roadmap for BI and Analytics
  • Designing Big-Data Platforms for an Enterprise


Conference Price: $289.00 per person


Each attendee will receive a certificate awarding 7 CPE credits for CISSP continuing education, in addition to 0.7 CEUs and 7 PDUs. CISSP is a registered certification mark of (ISC)², Inc.

8:00am – 9:00am: Registration and Continental Breakfast

9:00am-9:50am: Accelerating Transformation & Adapting to the Business


Louis Caron, Global Enterprise Architect, Office of the Global CTO, Hitachi Vantara


Enterprise IT has a great opportunity to for align their initiatives with business objectives to drive business growth.


In this session attendees will learn how to:

  • How they should think BI/Analytics in the context of Digital Transformation
  • Understand and influence the key ingredients of innovation
  • Apply innovation into strategy based on business objectives
  • Involve key elements of business strategy with various influencers and stakeholders
  • Align enterprise IT data strategy to business strategy




9:50am -10:20am: Refreshment Break

10:20am-11:10am: Accelerating the Evolution of Data Analytics


Hunter Almgren, Chief Technologist, Hewlett Packard Enterprise


When, where, and how we analyze data is changing at a rapid pace. The ability to analyze new types of data along with existing data sets at the speed it’s generated presents challenges from edge to core. Employing advanced analysis techniques such as machine learning, along with the creation of a consistent data pipeline, are foundational to a modern data strategy. Come learn about new ways of addressing these data challenges.




11:10am-12:00pm: How to Build a Modern Data Analytics Platform  


Fred Bliss, CTO, Aptitive


Data Lakes vs Data Warehouses, batch vs. real-time streaming, buy vs. build – the explosion in hybrid and cloud-native offerings has given enterprises the opportunity to revolutionize the way they manage and analyze data. Without a ‘one-size fits all’ approach available, however, navigating the landscape and making the right technology and architecture decisions can be an overwhelming undertaking.


In this session, Aptitive will help guide you through the components of a modern data platform and help provide a roadmap toward understanding the pros, cons, and trade-offs of various technology and design decisions in the enterprise data space.



12:00pm-12:50pm: Developing Data Literacy within your Organization


Greg Woodard, Principal, Solve


It is estimated that fewer than one-third of business users can confidently understand, analyze and argue with data. In many organizations, many decisions are gut-based decisions even though there is data available to help with the process.


Data literacy empowers everyone to ask questions of data, build knowledge, make decisions and communicate its meaning with others.


During this presentation, we will cover the importance of data literacy and how to begin on a data literacy journey for yourself and your company.



12:50pm – 1:50pm Luncheon

1:50pm-2:40pm: The Last Mile: Designing a Presentation Layer that Delivers


Jason Bean, Vice President, BI & Analytics Practice Leader, Messina Group Consulting


Often taken for granted as the last, simple piece to the puzzle, the presentation layer can make or break the value proposition of your analytics program. Messina Group will guide you through a success plan for your presentation layer, including:

  • Aligning with the business for adoption and engagement
  • How to identify, deliver and measure value creation
  • Architecting purpose-built datasets to support use cases
  • Simplifying advanced analytics use cases to promote value added behaviors and decisions




2:40pm – 3:10pm: Refreshment Break

3:10pm-4:00pm: Make Your Next Data Warehouse Your Last


Bruce McCartney, Senior Data Vault Architect, PerformanceG2, Inc.


If your reading this, chances are you have a belief in the value of data warehouses and analytics; in fact, you probably already have a form of a data warehouse that may not be meeting your needs. The purpose of this presentation is to discuss the reasons why many data warehousing initiatives fail, and how the Data Vault 2.0 “system of business intelligence” deals with these issues so that your next data warehouse initiative will be your last. Most of my Data Vault projects, and those of the many of the students in data vault certification training, are replacing ‘failed’ data warehouses. These are often referred to as modernization, or next generation, or 2.0, etc. but are essentially “do-overs”. If you are about to embark on a greenfield data warehouse, congratulations – and let’s avoid these common pitfalls and build a foundation that will last using Data Vault 2.0.




4:00pm-5:00pm: Designing Big-Data Platforms for an Enterprise


Sridhar Ramaswamy, Ph.D., Digital Analytics Manager, Caterpillar


Big Data analytics is becoming the need of any enterprise. It is primarily driven by two major developments in recent years:

  1. Highly-scalable data architecture that enables storage of big data, and
  2. Analytics platforms with elastic computing capabilities.


Traditional data processing and analysis of structured data using relational databases or data warehousing no longer satisfy the challenges of big data. Technology trends for big data embrace open source software, commodity servers, and parallely-distributed processing platforms. Analytics is at the core of exploiting values from big data to create consumable insights for businesses. This talk presents the pros and cons of building big data initiatives for an enterprise.






As is always the case at CAMP IT Conferences events, the talks will not include product presentations.  During the continental breakfast, coffee breaks, and the luncheon break you will have the opportunity to informally meet representatives from the following sponsoring companies, who have solutions in the area of the conference.