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Tuesday
13:45 - 14:45 | |
| Many enterprises seek to make their operations smarter using real-time business dashboards, event processing, rule engines, predictive or other analytics. This interactive roundtable discussion will focus on best practices in getting subject matter experts from the business side to work with BI or business analytics teams. |
Tuesday
14:00 - 14:30 | |
| Governance of BI and analytics is an issue frequently cited by European firms. While having the necessary safeguards to monitor proper usage is a necessity, allowing enough freedom not to stifle the growth of analytics is critical to its succesful usage and value. This session will help you strike a balance between freedom and control.
• What are the common approaches to governance?
• What issues are most prevalent in Europe?
• How do you strike the right balance of governance? |
Tuesday
14:00 - 14:30 | |
| The vast majority of BI deployments get stuck in the reporting stone age. While reporting will always be there, the real reason for BI is to make the future better by leveraging predictive models. This session shows how to get value from BI by supporting decision making through predictive analytics.
• What is predictive analytics?
• How does predictive analytics fit into the BI portfolio?
• What are scenarios of users predicting the future?
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Tuesday
15:45 - 16:15 | |
| This presentation describes a simple technique to simply communicate a business intelligence strategy to a business audience.
• What is the business objective of the BI program?
• Who in the organization will lead the BI program?
• How will various technologies and analytical capabilities be leveraged to accomplish this objective? |
Tuesday
15:45 - 16:15 | |
| Upon a rich foundation of fact-based market research, this presentation provides a market model, laying out the triggers towards analytics everywhere, on all souces, at the point of decision. Until 2020, the scope, use-cases, buying centres, delivery models, and vendor landscape will look radically different.
• What will be the market movers for BI and analytics to reach pervasive usage?
• Which vendors are well-positioned to lead and win in the market?
• When will hyped technology triggers reach market maturity? |
Tuesday
16:30 - 18:00 | |
| This workshop will help you to establish the role of an enterprise metrics framework within a performance management program. It does this by explaining what a metrics framework is, and more importantly, what it is not using practical, interactive examples of how a metrics framework is used in strategy development, business planning, budgeting and incentive compensation. |
Wednesday
08:30 - 09:00 | |
| Why do marketing and BI organizations not work more closely together? Can data-driven marketing organizations survive on their own, sourcing solutions from the cloud? Some, maybe, but not the best ones. Attend this session to learn how leading organizations build partnerships to better analyze, predict and act.
• What is causing the rift between marketing and the BI organization?
• How does the marketing organization survive on their own?
• How can you create a win-win for both BI and marketing organizations? |
Wednesday
10:00 - 11:00 | |
| Digital marketers procure much of their technology externally, often outside IT guidelines. Limitations of this practice are felt when there is a need for predictive analysis or better analytic skills, or to integrate with internal data and drive action from the analysis. Join your peers to discuss the issues and exchange best practices. |
Wednesday
10:00 - 11:00 | |
| Customer analytics is one of the most common areas for the adoption of new analytic techniques. This session will describe the most important advanced analytical techniques that organizations are deploying for success across the sales, marketing, and customer service functions as well as some of the organizational considerations for success.
• What is the impact of analytics on customer experience?
• What is the business benefit of different types of customer analysis?
• What are best practices for organizational adoption of customer analysis? |
Wednesday
11:30 - 13:00 | |
| Customer analytics is critical to organizational success, but is one of the most difficult domains in which to establish an overall strategy rather than just a series of disconnected tactical projects. This workshop will provide a “worked example” of the type of workshops and deliverables your organization could undertake to establish a customer analytic strategy that aligns BI and analysis with the business strategy of the organization. |
Wednesday
14:00 - 15:00 | |
| This roundtable session will provide attendees with the opportunity to network and share best practices and current challenges in the area of predictive analytics. |
Wednesday
14:30 - 15:00 | |
| Big data and its associated tools will change the infrastructure of the EDW and require managers to examine how they manage data in the future. One thing is for sure – you will be supporting organization-wide use of MapReduce to support big data initiatives. You need to understand how this will affect your organization and change your data warehouse.
• What new tools will be used to support big data and why will they change the DW?
• What do MapReduce and Hadoop do and what infrastructure do they need? |
Wednesday
14:30 - 15:00 | |
| As business analytics programs expand to encompass more people, more data, and more use cases, new competencies are needed to support, enable, and extend the reach of analytics. Hear how the Business Intelligence Competency Center (BICC) model is adjusting to accomodate these changes, and what the future of BICCs will look like.
• What limitations exist in today's model?
• What new competencies need to be fostered?
• What will new organizations look like? |
Wednesday
14:30 - 15:00 | |
| Nearly all BI initiatives are missing the important data component of “location”, although virtually all of the managed entities in the BI environment are possessing a location (e.g. customer, supplier, store, vehicle, device). This session will highlight the relevance of geography as a missing puzzle piece for business intelligence.
• What is location analytics?
• What technologies are required to leverage location information?
• What use cases exist for location intelligence? |
Wednesday
14:45 - 16:15 | |
| The availability of methods for accumulating, curating and deploying information enables organizations to transform their businesses in innovative ways. This session will explore how a variety of novel real-world use cases of big data and analytics can be readily adapted and adopted across industries. |
Wednesday
15:15 - 16:15 | |
| Changes in the types of data being consumed and analytic applications being deployed are driving new and significant data quality challenges. While use and capability of technology is evolving, you must also engage the proper people, develop the required skills, and establish specific roles to achieving substantial progress in data quality improvement.
• How are data quality issues changing with the evolution of analytics?
• What key data quality practices must organizations adopt?
• Where do data quality tools add value and how will the market evolve? |
Wednesday
15:15 - 16:15 | |
| BI and analytics in the cloud is a viable solution for some use cases, and adoption, although low, is rising. In this Gartner-led discussion we'll share experiences of what the pros, cons and trends are in this area. |
Wednesday
15:15 - 16:15 | |
| Good risk management informs better business decisions. Improperly managed risk can lead to business failures and poor business performance. To address this, enterprises need to integrate leading risk indicators (LRI), with leading performance indicators (LPIs) to gain insight on the activities and events that affect desired business outcomes.
• Why is managing operational risk still important to CEOs?
• How can we make risk management everyone’s responsibility?
• What is the process for integrating LRIs with LPIs? |
Thursday
08:00 - 08:45 | |
| Companies trying to evolve from BI to advanced business analytics will fail to meet objectives if they invest in a platform, without defining the right solution architecture. The session with help you understand what new platform capabilities are available, to understand how people and processes will need to evolve, and to apply the Gartner Business Analytics Framework.
• What new platform capabilities are available to analyze, predict and act?
• Who are the new stakeholders and what roles will they play?
• How will processes need to evolve to support business analytics? |
Thursday
08:00 - 08:45 | |
| Business, technological and product change demands efforts focused on efficiency for systems of record, and competitive advantage for systems of differentiation and innovation. The Pace-Layered Application Strategy provides a sound framework which addresses both CPM financial processes and performance management efforts.
• How should you map CPM and financial analytics to the Gartner Pace-Layer methodology?
• How can you leverage CPM investments for higher pace layer value?
• How can you engage executives to improve CPM? |
Thursday
09:00 - 10:00 | |
| Metadata provides the answers to the “who, what, where, when, why and how” questions about master data to promote understanding, consistency, compliance, sharing, and use. Here we explore the world of metadata and possible strategies for enabling EIM, data warehousing and BI.
• What is enterprise metadata management and how does it support DW?
• How does enterprise metadata management enable an Information Capabilities Framework?
• What are the types of metadata sources and strategies? |
Thursday
10:30 - 11:30 | |
| DW infrastructure is anything but dull. Gartner sees clients re-architecting server infrastructure from a Unix legacy to Linux X86 or Windows as an option. They then focus on sizing DBMS workloads and assessing the HA requirement. Increasingly, client are also reviewing virtualization for DBMS, not just for consolidation but also portability.
• What are the best practices for deploying ERP and DW infrastructure?
• How to modernize DBMS platforms for data warehousing?
• How does virtualization affect data warehouses? |
Thursday
10:30 - 11:30 | |
| Many organizations have adopted data discovery tools to deliver more agility to their BI and analytic initiatives. Unfortunately however this approach can lead to analytic silos which undermine investments in traditional reporting and data warehouse solutions. Join your end user peers for an informal discussion on how data discovery tools can be used to augment but not replace the data warehouse. |
Thursday
10:30 - 11:30 | |
| Most enterprises now have intentions to embark on a big data-related initiatives, or are doing so already, yet almost no organizations have an articulated approach for doing so. Big data initiatives are unique, not only in technology-related ways. This session will lay out over a dozen IT and business essentials of a big data strategy.
• How to ensure you are technically prepared for handling big data.
• What should the business be doing to plan for leveraging big data?
• What are organizational considerations for a big data strategy?
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