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Featured Content from Analytics8
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- Business Intelligence Project Management 101
Business Intelligence projects are a big investment for organizations and when managed appropriately can provide big returns. Understanding BI concepts and how to apply them within the five PMI process groups will help you manage these projects successfully.
Often the person slated to lead a project is either a technician who is lacking in project management skills or a project manager who doesn’t understand the first thing about BI. Our Business Intelligence Project Management 101 White Paper is meant to introduce BI to a pure project manager and also introduces project management concepts to the BI practitioner in the context of an example project.
- 8 Ways that Business Intelligence Projects are Different And How to Manage BI Projects to Ensure Success
This paper will discuss 8 important differences between BI initiatives and other kinds of IT projects. By understanding these differences, it is possible to structure the environment and the project management methodology so that these differences are taken into account, resulting in a much higher success rate and greater business benefit.
- The Future of Business Intelligence Roundtable
On Oct 2, 2008, Analytics8 hosted a customer roundtable in Chicago entitled, “The Future of Business Intelligence”. Panelists in this forum included:
- Shane Legleiter, MIS Finance Director at CNA
- Kelly Byrne, Director of BI Center of Excellence at Zurich Insurance NA
- Jabir Patel, Director of BI/DW at CME
- Tasso Argyros, CTO Aster Data Systems
The panel was hosted by Carole Wittemann, Principal Consultant at Analytics8. The transcript covers all topics about the Future of Business Intelligence including dashboards & KPIs, how to handle huge data volumes, embedded analytics, enterprise data modeling, ETL and the future of data and text mining.
- Next-Generation Data Warehouses: Considerations for Scaling Your Analytic Infrastructure
Organizations are looking to do more with their data - to unlock insights, and better respond to market opportunities and threats. At the same time the amount of data is growing faster than Moore's Law that governs growth in computer processing power. This difference in rate of growth between data and computer power creates a gap between the need for analysis and the ability of a system to deliver the analysis via hardware scale-ups. Indeed, database architects are feverishly looking for solutions to manage such scales effectively on current generation databases. This document considers the challenges of scale and how new technologies can be harnessed to tame the data explosion in analytics applications.
- Monetizing Business Data With Frontline Data Warehouses
The Frontline Data Warehouse ( FDW) is the newest innovation in analytics and data warehousing for organizations building competitive advantage through analytics. The Frontline Data Warehouse is designed to collect, manage and monetize the avalanche of data entering today's enterprises. Whether fed by data from hundreds of applications, thousands of ATMs, or millions of mobile phones, the FDW provides fast access to persistent, comprehensive, and up-to-the-minute record of the enterprise's frontline data. The FDW provides an agile in-database analysis that provides intelligence at the point of service delivery. With this, you can empower your applications and users to rapidly generate insights and rules updates even as data stays resident within the FDW.
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