PDF Download November 6-8, 2016 Agenda (PDF)

Big Data Summit
November 6-8, 2016

↓ Agenda Key

View detailsKeynote Presentation

Visionary speaker presents to entire audience on key issues, challenges and business opportunities

View detailsExecutive Visions

Panel moderated by Master of Ceremonies and headed by four executives discussing critical business topics

View detailsThought Leadership

Solution provider-led session giving high-level overview of opportunities

View detailsThink Tank

End user-led session in boardroom style, focusing on best practices

View detailsRoundtable

Interactive session led by a moderator, focused on industry issue

View detailsExecutive Exchange

Pre-determined, one-on-one interaction revolving around solutions of interest

View detailsFocus Group

Discussion of business drivers within a particular industry area

View detailsAnalyst Q&A Session

Moderator-led coverage of the latest industry research

View detailsVendor Showcase

Several brief, pointed overviews of the newest solutions and services

View detailsCase Study

Overview of recent project successes and failures

View detailsOpen Forum Luncheon

Informal discussions on pre-determined topics

View detailsNetworking Session

Unique activities at once relaxing, enjoyable and productive

Sunday, November 6, 2016 - Big Data Summit

3:00 pm
-
4:30 pm

Registration & Greeting

4:30 pm
-
6:00 pm

Exclusive CXO Keynote

Top 10 Competencies of the Modern IT Executive

Communication,” “business acumen,” and “relationship building” are all familiar entries on every “Top IT Leadership Skills” list ever written. While these attributes continue to be important in our current climate of risk, innovation and IT opportunity, they are just a drop in the bucket. In an era where technology belongs to everyone, the technology executive must have so much more. In this newly updated presentation, Martha Heller, an IT executive recruiter and author of The CIO Paradox and Be the Business: CIOs in the New Era of IT (fall 2016) presents a list of new skills critical to any IT leader working today. Drawing on personal interviews with more than 400 successful CIOs, Heller, a master storyteller, offers case studies, anecdotes, advice and impressions to arm attendees with the skills they need to bring their companies into the future.

Presented by:

View detailsMartha Heller, President , Heller Search AssociatesHeller Search Associates

6:00 pm
-
7:00 pm

Networking Cocktail Reception

7:00 pm
-
8:30 pm

Networking Dinner

8:30 pm
-
10:00 pm

After Dinner Networking

Monday, November 7, 2016 - Big Data Summit

7:00 am
-
7:55 am

Registration and Networking Breakfast

8:00 am
-
8:10 am

Welcome Address and Opening Remarks

8:10 am
-
8:50 am

Keynote Presentation

Moving from Operations to Transformations

The accepted number for the amount of the IT budget that is tied up in operational spend, in paying to maintain technology that has already been purchased, is 80% leaving only 20% for the IT department to use to drive new projects. Because this level of funding is so low, as much as 70% of IT sponsored projects fail. Yet IT departments are being constantly pushed to be innovative, to find a way to embrace new technologies and leverage them to drive business change. How can you do that when your time, money, and effort goes to just keeping the lights on? Join us as we collectively explore this issue and examine some of the successful strategies that are being leveraged by top IT leaders.

Takeaways:

  • The pressure on CIO’s to drive change has never been higher, but fortunately neither has the opportunity to do so
  • Disruptive technologies don’t just have the power to disrupt IT for the worse, they have the power to disrupt the business for the better
  • Fortune favors the bold; now is the time to take a leap into new modes of business to break the operational spend stranglehold

8:55 am
-
9:35 am

Keynote Presentation

Becoming A Service-Oriented Enterprise

Many organizations are discovering that adopting service catalogues, curated collections of business and IT services, can both enhance IT-business relationships (by clearly outlining capabilities and expectations as well service costs) and improve operational competency (by standardizing service offerings). Service catalogues are only as useful as their accuracy however and a service catalogue with service levels that cannot be met can in many have a greater negative impact than not having a service catalogue at all. To ensure that service levels are set appropriately it is important to understand the capabilities of the people, processes, and tools that underlie them and this requires measurement up front to eliminate guess work.

Takeaways:

  • Service catalogues have a demonstrated value within enterprises to manage costs, improve service delivery, and enhance relationships
  • As important as service definition is to success, service level definition may be even more so to avoid “over-commit, under-deliver” situations
  • Without good performance metrics, the kind derived from an IT Service Optimization platform, establishing appropriate service levels is nothing more than a shot in the dark with a low probability of success

9:45 am
-
10:15 am

Executive Exchange

Think Tank

Using Data & Analytics to Drive Business Transformation

Big Data initiatives have become a reality among almost every company today, however, what we have seen is lots of initiatives have become just science projects and did not deliver on early expectations. This situation needs to reversed quickly because those organizations that are being successful with Big Data and analytics programs are rapidly leaving those that are unsuccessful in their wake. Big Data and analytics has the potential to be transformational for the enterprise, but IT leaders need to be making the right investments, in the right areas, to ensure optimal success. This panel discussion will focus on how to use data and analytics to drive true business success and show some real examples of companies and individuals who made a difference.

Takeaways:

  • Analytics is not a new capability and has always been aligned with the most successful companies
  • The roles of IT and the lines of business are changing when it comes to data and analytics programs
  • The business benefits of analytics programs can be huge but efforts need to be constrained so that they don’t turn into flights of fancy, yet set free enough that they find the “unknown unknowns” that truly drive transformation

10:20 am
-
10:50 am

Executive Exchange

Thought Leadership

The Power of Big Data: Energizing the Customer Experience

Customer intimacy is an imperative for companies who are struggling with increasing commoditization of goods and services and an explosive growth in the channels of engagement. Digital organizations have a head start and have disrupted traditional customer interfaces to gain competitive advantage. As a result, organizations across industries are now exploring ways to energize the customer experience and fill the digital gap. This session will present practical ways in which leaders in digital customer experience are leveraging Big Data to harvest customer insights, create new business applications and enable digital transformation within sales and marketing.

Takeaways:

  • Discover how new data ingestion techniques and Big Data Lake are used to drive customer intimacy
  • Learn how digital customer transactions and social media can successfully integrate with enterprise data such as inventory and order management
  • Discuss how CIOs and CMOs need to interact to enable effective operating models to monetize on Big Data

10:55 am
-
11:25 am

Executive Exchange

Roundtable

Big Data is all about the Cloud

Of the four disruptive technologies, Cloud and Big Data are the two most top of mind for CIOs, the former because it has the potential to enhance agility and productivity while enabling efficiencies and reducing costs and the latter because it derives insights that drive competitive advantage and increases revenues. As the two continue to grow in relevance and importance to enterprise IT, and indeed to the enterprise as whole, it is only natural that they begin to intersect with the cloud becoming the optimal platform for the delivery of Big Data capabilities, either “in-house” through the use of IaaS/PaaS or out-of-house through SaaS or Analytics as a Service. IT departments and the CIOs that lead them then need to look to their Big Data and Cloud strategies and determine how best to align them to leverage the advantages where the whole is greater than the sum of the parts.

Takeaways:

  • Cloud computing is a fundamental enabler of big data and advanced analytics capabilities
  • IT can, and must, become a leader in enterprise analytical capabilities by becoming a broker of cloud services
  • Cloud can benefit big data and analytics in a variety of ways with a variety of different delivery models each scaled to individual needs

11:30 am
-
12:00 pm

Executive Exchange

Roundtable

Big Data, Small Data, and all the Data in Between

Increasingly over the last several years the term “Big Data” has become prevalent, to the point that it is invariably all anyone thinks of when data is mentioned at all. Often what we think of when we use the term “Big Data” is actually unstructured data – all the new data forms that enterprises have never collected before and are being overwhelmed by the possibilities of. But big/unstructured data is by no means the only data enterprises have and core structured or “small” data is often still the most relevant and valuable data an enterprise owns. As we collectively push forward into a more analytics-centric and therefore data-centric world what we need is a considered all-data strategy, one that incorporates big data, small data, master data, and meta data.

Takeaways:

  • While Big Data is valuable, so is the rest of the data that an enterprise owns and consistent focus must be applied to all data forms and types
  • A holistic data strategy that considers and the balances the needs of all data structures, types, needs, uses, and owners is essential for efficient and effective data operations
  • For business that have not yet invested in Master Data Management, such a program is the ideal foundation for building a comprehensive data program

12:05 pm
-
12:35 pm

Executive Exchange

Think Tank

Clinical Data Analysis is Healthcare’s Big Data Challenge

The payment reform introduced by the Accountable Care Act is having significant ripples across the industry not the least of which is putting healthcare organizations in the position to reduce procedures and spending while simultaneously increasing overall health and patient outcomes. Leading edge organizations are realizing that they can achieve these seemingly opposite goals by more accurately and granularly understanding their patient community, the health issues they are suffering, and the causes of those issues. By defining the patient population into discrete subpopulations healthcare organizations are more able to leverage appropriate care at appropriate times but defining those subpopulations is a challenge for which big data analytics is the key.

Takeaways:

  • Healthcare organizations are under increasing pressure to do more with less and so need to find new solutions to old problems
  • At the same time the potential for visibility has never been higher given the volume of data being collected as a result of widespread EHR adoption
  • CIOs must leverage big data technologies to help their organizations understand the patient community to improve health and lower cost

12:40 pm
-
1:40 pm

Networking Luncheon


1:45 pm
-
2:15 pm

Executive Exchange

Think Tank

Defining Data Governance

Data volume, data variety, and data velocity have all grown exponentially over the last few years, the so-called “Big Data” explosion. And while this increased organizational focus on data, the information it contains, and the insights that can be gleaned from it promises tremendous opportunity, that opportunity isn’t achieved without overcoming significant challenges. Whether it be the increased need for better data quality (an issue unresolved from the “small” data days), more efficient and effective data management, answering questions around data ownership vs. stewardship, or even increased regulatory pressure as a result of data security and data privacy, this increased focus on data has created an increased need for Data Governance. Join our panelists as we discuss the thorny issue of Data Governance: what it is, how it works, why you need it, and who should be responsible for it.

Takeaways:

  • Data management issues have existed as long as data has existed but the Big Data boom has increased these challenges exponentially
  • Resolving data management issues requires a strong data governance program to make rules, resolve issues, and enforce compliance
  • Determining “what” to about data governance is the easy part, determining how and by whom it should be done will be the real challenge facing IT

2:20 pm
-
2:50 pm

Executive Exchange

Thought Leadership

Big Data and Analytics at the Next Level

The explosive growth of data volume and data variety that have characterized this new big data era are set to head in a steeper upward trajectory as IoT moves from being a fringe technology, to a mainstream capability. When a single Boeing 787 is able to capture 70Tb of data per flight from thousands of individual sensors throughout the vehicle, just imagine the data volume that can be captured when not just every plane, or even every vehicle, but every device and every individual is streaming a constant set of “status” information. Data growth by itself however is only a small portion of the story, as to have value this data must be analysed in essentially real-time in order to create actionable outcomes.

Takeaways:

  • Big data today may be big, but every single one of the “v’s” that compose it (Volume, Variety, Velocity, Veracity and Value) is set to increase exponentially as a result of IoT
  • The ability to analyse, interpret, and find meaning in this vast sea of data will be single biggest differentiator in enterprise success
  • Enterprises will have to walk a fine line when it comes to privacy of the information they collect to ensure the continued ability to do so

2:55 pm
-
3:25 pm

Executive Exchange

Roundtable

Ensuring Data Quality

Data quality is one of the most critical issues facing every enterprise and whether data be duplicate, stale, incomplete, invalid, conflicting or just plain incorrect the impact of enterprise decision making and ultimately enterprise success and be significant and severe. As the number of data sources grows, as the speed with which data is collected and utilized increases, and as the raw volume expands almost exponentially, the impacts of poor data quality becomes more significant than ever before. IT executives must build strong data governance capabilities to ensure that enterprise data is kept unique, timely, complete, valid, consistent, and accurate.

Takeaways:

  • Data quality is not a new problem but the advent of the IoT age means that it will be a problem of greater relevance than ever before
  • The process by which data quality can be addressed isn’t fun or “sexy” but where enterprises have often ignored it to date they can no longer do so
  • Enterprises that do not proactively address data quality now may find that IoT is their downfall rather than their savior

3:30 pm
-
4:00 pm

Executive Exchange

Roundtable

Applying Big Data Principles to Security Paradigms

Volume, variety, velocity, veracity; all four of the hallmarks of Big Data have a clear fit in the world of security as the number of threats grows, their natures diverge, the speed with they are encountered (and subsequently have to be dealt with) accelerates, and the need to be ever more accurate enhances. As enterprises have made significant investments in Big Data programs and analytics platforms, they are beginning to reap real benefits in terms of business efficiency and innovation. The time then has come to begin applying those same principles and platforms to the security challenges facing enterprises to allow for faster, more effective overall security.

Takeaways:

  • The nature of the enterprise security challenge closely mimics many of the Big Data challenges business are beginning to learn how to solve
  • Just as Big Data challenges required different tools to address for Line of Business and “general” IT issues, so they will for information security challenges
  • Security must become the next focus for analytics capabilities, and analytics the next focus for security professionals.

4:05 pm
-
4:35 pm

Executive Exchange

Think Tank

Big Data Analytics the Key to Smart Grid Value

Smart Grid technology is nothing new but the penetration rates continue to lag in many areas of the country, as overall installation of smart meters themselves is less than 25% nationally in large part due to low cost electricity in many areas. Smart Grid is about far more than cost management however and delivers benefits in four key areas: Increased customer satisfaction, improved overall utility reliability, enhanced operational efficiency, and improved safety and risk mitigation. To be able to properly leverage these benefits however, Utilities must understand what is happening across the smart grid by capturing the wealth of data and properly analyzing it through the use of data analytics. Join our panelists as they discuss the broad benefits of smart grid adoption, the benefit of big data analytics in smart grid deployments, and the pitfalls to be avoided in both deployments.

Takeaways:

  • Smart grid allows a wealth of benefits that can increase revenues, reduce cost, and create value
  • These improvements are realized by exploiting patterns in the data that is captured by smart meters and other smart grid devices
  • The complexity, variability and sheer quantity of the information being gathered means specialized Big Data solutions are needed to realize the value

4:40 pm
-
5:20 pm

Executive Visions

Shadow IT – To Embrace or Eliminate?

Best practice in most enterprises, at least as far as the CIO and CISO goes, is to squash Shadow IT wherever it is encountered. Shadow IT, the argument goes, leads to a world of data and integration problems for the IT department, and significant amounts of unknown and unquantifiable risk for the information security group. A small but vocal minority however is beginning to advocate for Shadow IT as a catalyst of innovation, citing the increases in productivity and creativity by allowing enterprise staff to find their own out of the box solutions to organizational problems. CISOs can allow their organizations to have their cake (Shadow IT) and eat it too (still be secure) by following a few simple steps that allow them to build in security regardless of user activity.

Takeaways:

  • Shadow IT is not malicious activity; it is simply the Line of Business user community looking to be efficient and effective
  • A well-developed security program can take Shadow IT into account and incorporate protection mechanisms that allow end user flexibility
  • Embracing Shadow IT does not mean “no holds barred” and end users need to understand the limit of the boundaries and the reason for their existence

5:20 pm
-
6:30 pm

Cocktail Reception

6:30 pm
-
8:00 pm

Networking Dinner

8:00 pm
-
10:00 pm

After Dinner Networking

Tuesday, November 8, 2016 - Big Data Summit

7:00 am
-
8:00 am

Networking Breakfast

8:10 am
-
8:50 am

Keynote Presentation

The Role of the CIO: Business Challenger, Innovation Driver

Since the inception of the role, the focus of the CIO has primarily been one of Technologist and IT Operations Manager; selecting the tools and services necessary to support the business, and then efficiently and effectively operating them. This is a future of declining organizational value however as technology becomes increasingly democratized and other organizational groups take control over individual systems and data sets. CIOs need to recast themselves instead as Strategists and Business Innovators; leveraging their unique position at the crux of the organization to propose alternatives to the accepted way of doing things, and to drive organizational growth through business alignment and organizational change.

Takeaways:

  • CIO’s are at a fork in the road; they can continue to be Operational or evolve and become Transformational
  • Transformation efforts cannot stop at the boundaries of the IT department, they must reach into the business as a whole, addressing process and defining new capability
  • Visionary CIOs will move their departments from cost centers to value creators, and move themselves from executive afterthoughts to true organization leaders

8:55 am
-
9:35 am

Keynote Presentation

Implementing Business Simplification for Success and Growth

Organizational complexity is the single most significant impediment that enterprises are dealing with today; it underlies every business problem enterprises faces and undermines every effort to address them. Organizational complexity is grounded in cumbersome processes, but those poor processes exist only because enterprise applications themselves, including those that are customer facing, as well as those that are not, are complex and unwieldy. To address cultural complexity then, enterprises must eliminate the complexity in their application suite by either building new, buying new, or more efficiently simplifying what they already have. Only by simplification can enterprises eliminate complexity in an efficient and effective way and position themselves for success.

Takeaways:

  • Enterprises live and breath by the speed with which regular transactions occur – turning these into one minute transactions is the key to success
  • Complexity must be eliminated in all applications customer-facing, core internal, and internal supporting alike
  • Building or buying new, less complex applications offers limited gains because eventually all introduce complexities of their own; only simplified applications offer long term, sustained elimination of complexity

9:45 am
-
10:15 am

Executive Exchange

Think Tank

Big Data, Big Success

As the retail market space becomes increasingly crowded and competitive, retailers need to put themselves in a position to differentiate themselves from their competitors, either by pricing or by offering. In order to be able to do this, retailers need to put themselves in a position where they have a deeper and broader understanding of not just the needs and wants of their customers, but also their motivators and triggers. IT Leaders realize that they need to invest in powerful analytics programs that allow them to leverage the wealth of client data they are capturing, find the relevant patterns and insights, and use those to aggressively attack the market and establish dominance.

Takeaways:

  • Successful retailers have long used data analytics to ensure a competitive edge relative to their peers
  • Data is becoming more ubiquitous and the sources by which it is derived are growing exponentially
  • Personalization of experience is a strong indicator of relationship success, but can only be achieved by truly understanding the client through data analytics

10:20 am
-
10:50 am

Executive Exchange

Thought Leadership

Data Integration at the Scale of Mobile

As enterprises grow in scale and complexity, the amount of data and data types they collect increases and the introduction of mobile data (either mobile collected or mobile consumed) just accelerates this pace. As data volumes and varieties grow, enterprises are increasingly challenged to efficiently and effectively manage the integration of this disparate material, particularly when the pressure to do so quickly and accurately is becoming more significant. Mobility really is making a world where data integration is becoming an overwhelming problem and if IT leaders do not find a way to address it, their business peers will be left to face the consequences.

Takeaways:

  • Context is essential; without a good understanding of what data and data needs exist, there will be no possibility of efficient and effective data integration
  • The further away the source of the data (and it doesn’t get much further than mobile data) the less it can be trusted so mobile data needs extra scrutiny
  • To effectively integrate data, you must first integrate master data and governance rules as these will define the ground rules for all data integration

10:55 am
-
11:25 am

Executive Exchange

Roundtable

Turning Big Data into Big Opportunity

It has been said that leveraging Big Data is like looking for a needle in a haystack; that the challenge is finding the one piece of insight in the sea of irrelevant data. The truth is there is no irrelevant data just data without initial context or meaning, suggesting the problem in actuality is one of looking for a needle in a needle stack. Compounding this problem is that, to offer maximum value, these insights need to found as quickly as possible lest someone else find the relevance first and exploits the opportunity that goes along with it. IT Leaders need to focus not just on building the toolset that allow the business to find insights, but on building an insight pipeline that finds the relevance and feeds it to business peers.

Takeaways:

  • See that Big Data is an opportunity engine waiting to be exploited
  • Learn to identify the insights the business needs to succeed
  • Understand how to build the capability to find and deliver those insights

11:30 am
-
12:00 pm

Executive Exchange

Roundtable

Cloud, Crowd, Content: Changing the Big Data Game

It’s no secret that Big Data is a big deal, but just how big is it? Some estimates show that while we have a massive 2 Zettabytes under collective corporate management, that this represents one ten thousandth of a percent of the data that has been created. Fortunately, those other “nexus” technologies are providing the opportunity to make use of these untapped data resources – mobile is providing a ubiquitous input channel, cloud a dynamically scalable processing capability, and social the community involvement to process and find value. Leveraged well Big Data can solve a wealth of corporate challenges, ranging from improving efficiency, through mitigating risk, to actually growing bottom line revenue.

Takeaways:

  • Understand how big Big Data really is and where the value to your organization lies
  • Learn what problems Big Data solves and how it achieves value
  • Be challenged to think about the future of Big Data in your organization

12:05 pm
-
12:45 pm

Executive Visions

Diversity in IT

The importance technology plays within an enterprise will only continue to gain momentum as more developers, engineers, and programmers enter the workforce. As these segments continue to grow, so does the diversity of the workforce within the technology field. For a field that is severely constrained by a talent and skills gap, this influx of bodies can only be a good thing. Beyond the basic ability to deliver of identified capabilities a diverse workforce, whether cultural or gender influenced offers a whole that is more than the sum of the parts. Finding ways to drive and increase diversity in IT then should be a key focus for every IT executive.

Takeaways:

  • Identify the importance behind diversity in technology, opportunities, and capabilities
  • Discuss the importance of cultivating diversity at the grass-roots level and building post-secondary programs that drive awareness of and interest in IT
  • Understand the hurdles that exist that limit the prevalence of diversity in IT, and what steps must be taken to lower, if not eliminate, them

12:45 pm
-
12:55 pm

Thank You Address and Closing Remarks

1:00 pm
-
1:30 pm

Grab and Go Luncheon

1:30 pm
-
2:00 pm

Shuttle-Bus to Golf Tournament

2:00 pm
-
5:00 pm

Nine-Hole Golf Tournament

5:00 pm
-
5:30 pm

Shuttle-Bus back from Golf Tournament

5:30 pm
-
6:30 pm

Networking Cocktail Reception

6:30 pm
-
8:00 pm

Networking Dinner

8:00 pm
-
10:00 pm

After Dinner Networking