Achieving Success with Modern Analytics: Results of the Latest TDWI Best Practices Report
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, June 28, 2023
Time:10:00 a.m. GMT
Today’s enterprises need meaningful, data-driven insights to answer the strategic business questions that will help them succeed. To extract those insights, they need to be successful with their analytics programs. This includes self-service analytics as well as more advanced analytics techniques such as predictive analytics and machine learning (PA/ML). They need modern analytics.
Modern analytics refers to the use of advanced data analysis techniques, such as machine learning, artificial intelligence, and natural language processing, to extract insights from large and complex data sets. It also includes newer self-service tools that promote democratization: tools that surface insights or use natural language query. It includes very new tools such as generative AI. Modern analytics requires using sophisticated tools and technologies to process, transform, and analyze data in real time or near real time.
Yet, adoption seems stalled. For instance, comparing TDWI survey results over the past seven years indicates that organizations are not adopting machine learning and other advanced analytics technologies at the rate they planned. In a recent TDWI survey, 75% of respondents said that they were struggling to get to the next stage of analytics maturity. Even self-service visual analytics is not pervasive throughout companies.
Why are these companies struggling and what can we learn from those companies that have been successful in moving forward with modern analytics? Join this TDWI webinar to learn more. Topics include:
- The current state of modern analytics
- Challenges in moving forward to adopt modern analytics
- Technologies and tools for modern analytics
- Characteristics of successful organizations
- And more!
Fern Halper, Ph.D.
Sponsored by the following vendors:
SAP, Snowflake, StreamSets