Here are ten things to know as you work with Business Intelligence (BI) and Data Analytics.
More articles by David Leininger
Dave Leininger has been a Data Consultant for 30 years. In that time, he has discussed data issues with managers and executives in hundreds of corporations and consulting companies in 20 countries. Mr. Leininger has shared his insights on data warehouse, data conversion, and knowledge management projects with multi-national banks, government agencies, educational institutions and large manufacturing companies. Reach him at Fusion Alliance at dleininger@FusionAlliance.com.
What happens when you have the ability to get instant push notifications along with today’s vast array of sensors? If you toss in a little “Internet of Things (IoT)” you could quickly start revolutionizing how many industries operate.
The effort put into data modeling is relative to the size of the project. Starting with a proper set of data models allows enhancements as the business needs grow and change.
Use data quality services (DQS) for cleansing and matching source data via business rules.
Big data platforms and ecosystems emerged from the need to efficiently handle data volumes, velocities, and varieties that had not previously existed.
Complete a big data proof of concept project in 60 days, leading to a full implementation afterward.
Ten Tips that lead to a functional environment for data integration.