RESEARCH & RESOURCES

Faster BI for the Masses: How Search Can Make Analytics More Accessible

TDWI Speaker: David Stodder, TDWI Research Director

Date: Thursday, August 4, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Business intelligence is critical to getting answers from data, but for many users it is also a huge source of frustration. Since its beginning, the mission of BI has been to make it faster and easier to locate the right data, query it, and return meaningful answers for reporting and analysis. Newer data visualization and discovery tools have improved the user experience, and data warehouses and data lakes have added terabytes to the data within reach. Yet, it still can be a slow and difficult process to get to the most relevant data without help from technical experts. Users often have to wait for their answers and unless the technical experts also have a strong understanding of the business, the answers are usually inadequate—and the process starts all over again.

Search-driven BI solutions can make finding and querying data a faster and easier experience and can be an important alternative or complement to traditional BI querying. Most users are familiar with search through the use of commercial search engines, but not only can search help users quickly locate data and analyze it, it can also help the organization as a whole by building a reusable knowledge base about the data and how it is used.

Join this TDWI Webinar to learn how search can help move you closer to delivering analytics to every business user. The webinar will discuss search’s contribution to improved visibility and time to insight by allowing users to use natural language rather than code to query increasingly complex data sources. 

In this Webinar, you will learn:

  • Trends in search technology for a BI and analytics context 
  • How search can help users realize BI goals for faster, easier, and more relevant data access 
  • What organizations are doing with search to address BI and analytics needs
  • Best practices for using search for BI and analytics 

David Stodder

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