PDF Download November 16-18, 2014 Agenda (PDF)

Big Data Summit
November 16-18, 2014

↓ 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 16, 2014 - Big Data Summit

2:00 pm
-
5:30 pm

Registration and Greeting

4:30 pm
-
6:00 pm

Exclusive CIO Think Tank

Analytical Talent

Were all in the depths of Big Data and the Analytics frenzy. It's one of the hottest areas of business strategy. As we all depend upon analytics to drive our businesses(and compete against others doing the same), hiring, developing, and retaining analytical and big data talent is becoming more critical to all of us. As we collect more information both inside and outside our corporations and begin to understand the potential value, this talent is the key to unlocking that potential. We will focus on first knowing who this talent is, and then breaking it into four types of talent (analytics, modelers, big data, and developers); all of these are referred to as Big Data experts or data scientists at times. Well discuss how to ensure you hire the right people, the often different types of development they prefer, and how to maximize the potential to retain your best talent. 

  • Ensure you know who your talent is - this isn't easy. 
  • Hire for capability not skill sets - the skill set needs will change in two years. 
  • Know what they want - it isn't what your typical employee desires.

6:00 pm
-
7:00 pm

Welcome Reception

7:00 pm
-
10:00 pm

Welcome Address Presented by Master of Ceremonies

Welcome Dinner

Monday, November 17, 2014 - Big Data Summit

7:00 am
-
7:50 am

Networking Breakfast

8:00 am
-
8:40 am

Keynote Presentation

Operating in a Big Data World: Thinking about ROI

It is common for companies embarking on their big data and analytics journey to stumble on the topic of ROI. This session will explore the opportunities and challenges for IT and Business alike in driving value and outcomes. 

We will explore the CIO agenda and the Business leader agenda and share experiences on how both contingencies approach where to start and where to focus. We will also explore the topic of data discovery as a strategic approach for driving ROI. Finally, we will highlight several examples of where value and ROI is being driven.

8:50 am
-
9:20 am

Executive Exchange

Thought Leadership

Compete Using Big Data: How to Win at the Sport of Business

Winning fans - and keeping them - is important in every business. Hear how to turn your customers into fans. 

Sports leagues and franchises are discovering new ways to actively interact with fans through team sites, social media channels, public forums and retail outlets. They are designing, creating and fielding personalized applications and communications that keep fans talking about their brand and ngaging with digital content. Join us to learn how there are solutions enabling our sports customers to:

  • Understand preferences and behaviors
  • Retain and boost revenue from die-hard fans and new customers 
  • Enhance the experience and nourish high-value customers with more personalized, relevant and on-demand communications and promotions

Come and see exciting, real- life Big Data use cases that can help your business and fans compete and win.


9:25 am
-
9:55 am

Executive Exchange

Think Tank

Big Data Kick-Off Kit

Given the difficulty in quantifying the true value of Big Data, how do companies implement successful Big Data projects? What are the key obstacles to navigate that ensure it can deliver on its promise?  In this Big Data Kick"Off session, well describe the basic milestones of Big Data projects, proven approaches to delivering Big Data projects and introduce critical challenges and opportunities to expect along the way.  Finally, well discuss ways to measure the value of a Big Data project so it can be used to obtaining funding for additional development phases.

  • Identifying Big Data milestones
  • Varying approaches to Big Data delivery
  • Measuring project value to obtain funding

Presented By:

Troy Christensen, Exploration and Production Data Director, Integrated Oil Services

Think Tank

Making Big Data Actionable

Many companies are undertaking "Big Data" initiatives. How can we be certain that these initiatives are aligned with business opportunities and challenges? What are the appropriate processes to reinforce this alignment?

How - specifically - are other companies monetizing Big Data? What are the challenges and obstacles that companies are facing and how are they overcoming these obstacles?

10:00 am
-
10:30 am

Executive Exchange

Roundtable

Next Generation Analytics: Acting on Big Data While It Still Has Value

Data can transform your business. In the new digital economy, organizations are demanding more and more analytics on all of their data. The operational ability to capture the right information, at the right time and act on it preemptively is todays sure driver of sustainable business value and competitive advantage.

 This session will present the challenges of acting on big data in real-time as well as how you can expand core big data competencies, build data discovery capabilities, and put your insights into action.

Sponsored by:

View detailsTeradataTeradata

Roundtable

Jump Start your Big Data

Data available for companies to support business intelligence and guiding tactical decisions are growing at exponential rates. Most companies dont elieve in the hype of the big data platforms mainly due to the belief that they are costly and complex requiring unique technical skills to manage and support.

 Here we will show how we have dispelled the myths and created a strategy that will jump start the big data effort that you are looking for. Our turnkey solution provides elastic ingest capabilities to process data and transforms them to facilitate high level quantitative analytics and searches. 


10:35 am
-
10:55 am

Networking Break

11:00 am
-
11:30 am

Executive Exchange

Thought Leadership

Real-time Streaming Analytics - Business Value, Use Cases and Architectural Considerations

As enterprises begin to get comfortable with Hadoop based architectures - some may wonder - what's next? As IT and line-of-business executives begin to operationalize Hadoop and MPP based batch big data analytics, it's time to begin to understand and prepare for the next wave of innovation in data processing, visualization and analytics - Analytics over real-time streaming data.

This session will provide an overview and discussion on the business value, use cases and architectural considerations of integrating real-time streaming analytics into your Enterprise Big Data roadmap.

Sponsored by:

View detailsImpetusImpetus

11:35 am
-
12:05 pm

Executive Exchange

Think Tank

Forming a Data Narrative

Decisions establishing the underlying structural framework within which a predictive model is constructed can have a greater impact than the remaining process of model building and optimizing.  Yet that central component of creating a model foundation is often not given a focus in proportion to its significance.

This session will discuss:

  • The relationship between narratives, causation, and forecasts.
  • Why the point of view, or basis, from which you frame your data is critical.
  • Foundational techniques that can lead to improved model accuracy.

Think Tank

Offshore Analytics: It Depends On

Due to the lack of qualified analytics professionals here in North America, many executive teams are looking offshore to see if they can solve the problem internationally.  But is offshore analytics a competent strategy for your enterprise? Many factors need to be considered: the priority of analytics within the organization in addition to its function, the analytics leadership team, the maturity of data assets, and the presence of existing outsourcing relationships.  

  •  Define whether Offshore is a viable strategy for the business.
  •  Consider the variables that build a stable base for offshoring.
  •  Discuss possible alternatives to outsourcing to solve the talent gap.

12:10 pm
-
12:40 pm

Executive Exchange

Thought Leadership

The Democratization of Big Data

Big Data is certainly a hot topic. But as with any hyped technology, the topic of big data is starting to lose its initial luster. Part of the reason for this is that many firms that made big investments in big data are still struggling to find the promised value. Hiring more and more (expensive) data scientists is not a viable solution. The problem which was well stated by Tom Davenport is that Big Data is too important to be left to the quants. Innovative firms understand that innovation can come from anywhere not just a select few individuals. Therefore what is needed is a way to reduce the bottleneck that prevents all business users from gaining benefit from big data so that firms can unlock the true potential of this valuable resource.


Sponsored by:

12:45 pm
-
1:15 pm

Executive Exchange

Think Tank

Organizational Leadership in Big Data

This session will help you create the optimal organizational strategy for big data by understanding the scenarios in which they are successful. This strategy will embed big data into the fabric of the business to foster an analytic culture aligned with your organization. We will focus on why some top organizations are able to successfully extract insight from their big data with analytic development processes, and why many others struggle to put their valuable data to good use.

Topics to be discussed:

  •          Characteristics that define successful big data organizational strategies
  •          Why extracting value from big data remains elusive for many organizations
  •          The connection between data management strategies and exceptional business performance

Think Tank

Monetizing Data Management: How to Measure Everything

Organizations have lost millions due to poor data management practices, but remain unaware of the root causes of their losses. Unless IT professionals can monetize these lost opportunities and their related costs, gaining executive-level approval for basic data management investments will continue to be difficult. This sets up an unfortunate loop: executive management is focused on fixing symptoms, but cannot address the underlying problems. This workshop illustrates how to identify specific costs of poor data management practices using delegate supplied examples. As organizations understand poor data management practices as the root cause of many of their problems, they will be more than willing to make the required investments in our profession.

1:20 pm
-
2:20 pm

Networking Luncheon

2:25 pm
-
2:55 pm

Executive Exchange

Roundtable

Big Data: Gold Rush or Grand Illusion?

While "big data" is the hot topic these days, what is not being discussed is how to really create incremental value from big data assets. In this lively round table session, we will discuss the need for new analytical approaches to handle big data and how analytics can be used to uncover hidden insights that can transform businesses and even industries.

Roundtable

Predictive Decision Making with Elastic Big Data Machine Learning

Big Data can tell you the right thing to do - the best offer to make, price to pay, risk to take, feature to change, or rate to set. Using advanced machine learning software algorithms you can scan the universe of social media, machine data, transaction records, web clicks, and other Big Data, to create an evidence-based model of the best choice to make. There's just one problem - traditional machine learning software was not designed to handle the scale or complexity of Big Data, making it very slow and not very accurate.

3:00 pm
-
3:30 pm

Executive Exchange

Thought Leadership

Big Data in Motion

Most transactions are online. But, technology failures are still common, leading to brand damage and loss in market share. In this session, we will discuss the right data architecture for online transactions: disaster-proof and simple to operate, with search, analytics and security built in. Learn how the world has changed where business drives technology instead of the other way around.

3:35 pm
-
4:05 pm

Executive Exchange

Think Tank

Big Data: Youve got it. Can you really make best use of it?

Why are there so many conversations about data?  The IT industry has spent the last few years trying to name it, number it and determine what to do with it.  As with all things in life, there is good and bad that can come from it.  

This session will discuss top data challenges, and how you and your company play an integral role in determining what to do with your data proactively. What if the data you possess could cure cancer?  What if it you could determine how to use your data to assist your customers or local government in an emergency?  On the other hand, how do you do those things and protect customer privacy and security? A discussion of how your company could unleash your data to benefit you and the world around you, benefit your customers, and protect them.

Think Tank

Open Data, Business Value

Open data holds the potential to transform not only the public sector, but the private sector as well.  Many executives see proprietary constraints and an over-abundance of data sets as major obstacles in harnessing the power of Open Data.  But Open Data is the same as Big Data, Small Data, or Smart Data: it means nothing if you lack understanding in your data goals.  

  •           Understanding Open Data goals
  •           Monetization of Open Data initiatives
  •           Emergency preparation using Open Data

4:10 pm
-
4:40 pm

Executive Exchange

Thought Leadership

Embarking on Decision Sciences & Analytics

Organizations that want to stay ahead of the curve have learnt to capitalize on the synergies of big data. However, harnessing the mammoth data to result in improved ROI goes beyond just data crunching. Analytics initiatives will need to be approached from a holistic perspective. This is where the convergence of interdisciplinary approaches of Math, Business, Technology, and Behavioral Sciences will need to happen - defining the decision sciences space. This session will cover the multiple dimensions on which an organization will need to progress in order to institutionalize Decision Sciences.

4:45 pm
-
5:15 pm

Executive Exchange

Think Tank

A Somewhat Unconventional, Yet Actionable Approach to Successfully Institutionalizing Big Data

Big data has become a reality in the enterprise, and so have the potential benefits of its proper use. As information continues to pile up, effectively making it work for the business is feasible for organizations of all sizes, but it can be easy to lose ones way in the process. This session will discuss key guiding principles to identifying, harnessing and optimizing big data, offering a framework for short- and long-term success.

Think Tank

Data Governance and Big Data " A Necessary Convergence

As our businesses continue to expand its use and dependency on big data, it is also evident that we need to extend the reach of data governance to ensure the data is properly managed and leveraged within the confines of regulations and associated business controls.  The extension of a data governance program is a critical ingredient toward the success of any analytic program.  The challenge is when and how to establish a data governance foundation; and what are the main priorities on managing data in this new horizon.  Through the attendance of this session, attendees will learn:

  • When should data governance become involved in big data initiatives?
  • What are the main issues associated with data governance and big data?
  • What are the main priorities associated with data governance and big data?
  • What is needed to address a data governance foundation around big data?


5:25 pm
-
6:25 pm

CIO Executive Visions Panel

Spreading the Wealth: Cross-Industry Big Data Insights

What can Retail learn from Finance? What can Finance learn from Healthcare? What can Healthcare learn from Retail? Lots can be learned from industry to industry. In order for organizations and industries to make the most out of Big Data, it is vital that success stories and views from across the Enterprise are shared and discussed to enable Chief Executives to devise Big Data strategies accordingly.

This CIO Executive Vision panel discussion will bring together executives from different industries to share best practice strategies, successes and failures and discuss how industries can work together and learn from each other in order to get ahead in the Big Data world.

6:30 pm
-
7:30 pm

Cocktail Reception

7:30 pm
-
9:00 pm

Executive Networking Dinner

9:00 pm
-
10:00 pm

After Dinner Networking

Tuesday, November 18, 2014 - Big Data Summit

7:00 am
-
8:00 am

Networking Breakfast

8:10 am
-
8:50 am

Keynote Presentation

Operating in a Big Data World: Thinking about ROI

It is common for companies embarking on their big data and analytics journey to stumble on the topic of ROI. This session will explore the opportunities and challenges for IT and Business alike in driving value and outcomes. We will explore the CIO agenda and the Business leader agenda and share experiences on how both contingencies approach where to start and where to focus. We will also explore the topic of data discovery as a strategic approach for driving ROI. Finally, we will highlight several examples of where value and ROI is being driven.

9:00 am
-
9:30 am

Executive Exchange

Thought Leadership

Augment your Analytics Ecosystem Through Scalable Graph Analytics

Enterprises have made major investments in analytics over the years, and these investments are largely paying off. Today however, data is exploding - new sources, more volume, more complexity. Business leaders suspect there is hidden value in this data but today's approaches often constrain their ability to find and exploit this value.  The power of discovery should not be constrained. Analysts should be free to act on a hunch, uninhibited by rigid data structures and traditional approaches. 

9:35 am
-
10:05 am

Executive Exchange

Think Tank

Big Data Analytics - A Fundamental Shift

We have moved from an information-poor to an information-rich society. Practically-unlimited availability of data, computing, networking, and socio-mobile connectivity are fundamentally altering our world. In particular, they are enabling businesses to become more effective and efficient by using big data analytics - collecting all relevant data and automating their processing to drive decision-making. This represents a fundamental shift from traditional business analytics where limited amount of structured data is batch-processed to produce standard Business Intelligence reports. We will assess the current state of big data analytics, technology and business trends, and their enormous implications to the future of all businesses.

  • How is big data analytics different from traditional business analytics?
  • What are businesses getting out of big data analytics ?
  • How will big data analytics become critical to every business?
  • How should you enter into big data analytics or do more of it?

Think Tank

The Data Marshaling Yard - a key component for upstream Exploration and Discovery

The session will dicuss the challenges with raw data stored in file-based NoSQL solutions, and will propose best practices for businesses dealing with big data. You cannot possibly make good business decisions when you do not understand the interpretation and underlying assumptions of raw text. To get this right, we must add context to the data.

Transformations such as interpretation, editing, standardization, acronym resolution, etc., are needed to disambiguate the data and make it useful for analytics.

10:10 am
-
10:40 am

Executive Exchange

Thought Leadership

Big Data Leads to Big Insights

We are producing more data than ever before in the consumer and the corporate world. The big question to ask yourself is, Where do you want to begin? Brand sentiment , Predictive maintenance, Insider threats, Network optimization, Product recommendation and Fraud detection are just some of the big insights you can get from your big data.

10:45 am
-
11:00 am

Networking Break

11:05 am
-
11:35 am

Executive Exchange

Thought Leadership

Data Anywhere, Everywhere, All the Time

Most transactions are online. But, technology failures are still common, leading to brand damage and loss in market share. Learn how the world has changed where business drives technology instead of the other way around. 

11:40 am
-
12:10 pm

Executive Exchange

Think Tank

Big Data - Enabling The Intelligent (Information Driven) Enterprise

Big Data, the combination of high volume, velocity, variety, and validity, is requiring new forms of data acquisition, management, and integration to enable enhanced decision making, insights and opportunity.


Think Tank

The Ethics of Big Data

The Ethics of Big Data Issues around the use of volumes of data being collected in todays world is an undeniably important topic and concern among both business and consumers. As companies seek to capture data about consumer habits, privacy concerns have flared. When it comes to the analysis and use of this data, organizations must consider the ethical implications at every stage. In this session, we will tackle important areas of consideration including:

  • The internal and external use of data 
  • Monetization: How clear are you on data usage and sharing with 3rd parties? 
  • How does use of customer and client data effect the relationship?

12:15 pm
-
1:15 pm

CIO Executive Visions Panel

The Future of Big Data Monetization

What's the return on Investment (ROI) on Big Data? More importantly, what does the future hold? Data is the new currency and like any currency, how it's managed determines its true value. Big Data monetization is not about turning data into money. Instead, it's about taking information and turning it into opportunity. It's about the need to understand the real meaning of data in order to extract value from it. And it's about achieving this objective through a partnership with business and technology.

During this session, the panellists will discuss and showcase how to understand and place tangible value on data and how the true value of data can be realized for the future.


1:15 pm
-
1:25 pm

Concluding Remarks & Takeaways

1:35 pm
-
2:35 pm

Networking Luncheon