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Tuesday
08:00 - 08:45 | |
| A tutorial introducing you to terms and basic architecture for integrating and transforming transactional data into analytic stores like your data warehouse.
• What are the fundamentals of data warehousing architectures?
• What are the components of a basic data integration architecture for BI?
• What types of tools fit where? |
Tuesday
08:00 - 08:45 | |
| Organizations need to understand the basics of BI to ensure they're using the right tools and techniques to support decision making. This session explains the fundamentals of BI and business analytics as it increases as a driver of business performance and transformation.
• What is BI?
• What key capabilities make up a BI platform? |
Tuesday
08:00 - 08:45 | |
| Analytics capabilities fall into three main categories: descriptive analytics answer “what happened?”; predictive answer “what will happen?”; and prescriptive answer “what is the best action to take?” Learn the types of analytics, when to use them, and how to get the most business value.
• What is the value of analytics?
• What analytics capabilities do I need?
• What does analytics success look like? |
Tuesday
08:00 - 08:45 | |
| With their low cost, power and ease of, use tablets and smart phones are likely to proliferate in every organization. Mobile BI is already being touted as the hottest application in demand by business users. This tutorial will help you learn how to approach its deployment.
• How to justify the investment in mobile BI ?
• What critical capabilities should be used to select mobile BI tools?
• What deployment best practices will foster adoption by business users?
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Tuesday
14:00 - 14:30 | |
| So you think your organization needs to adopt master data management (MDM), but you don't know where to begin. The business case is not obvious for MDM, and no one is listening to your calls for help. How do you go about figuring out when and if your organization is ready for MDM? Start here.
• Under what conditions is MDM most likely to appear?
• How can you identify when and where MDM is for your organization?
• How can you assess whether you and your team are ready to start MDM? |
Tuesday
14:00 - 14:30 | |
| Finance users (like those in other domains) are demanding more analytics, and are increasingly likely to purchase these from their business application vendor without reference to IT. This session will explore the different types of analytics used by Finance, and how IT can make these part of a broader BI strategy.
• What types of analytics are used by the finance function?
• What is the relationship between financial analytics and ERP?
• How can IT balance the needs of finance users with a coherent BI strategy? |
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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Wednesday
08:30 - 09:00 | |
| Business analytics is the umbrella term supporting business intelligence, performance management and analytics. If you have come from a BI background or OLAP, Query and Reporting and ETL, then there is a whole new world of packaged solutions and applications awaiting your investigation.
• Are we on the same page?
• Are we using the same tools?
• Are we going in the same direction? |
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? |
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
09:00 - 10:00 | |
| Real-time operational intelligence is not just visual data discovery, using spreadsheets or refreshing BI reports every few seconds or minutes. It is a unique discipline with particular goals, users, technologies and data. This session explores descriptive event management, prescriptive decision management and process flow management.
• What is the real-time role of BI, data discovery and predictive analytics?
• How should you use rule engines, workflow, BAM and related technologies?
• Where will the observe-orient-decide-act loop apply? |
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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