Remove Analytics Technologies Remove Business Intelligence Remove Data Warehouse Remove Measurement
article thumbnail

How Macmillan Publishers authored success using IBM Cognos Analytics

IBM Big Data Hub

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Users have become increasingly hungry for quicker access to trusted and timely data, and a way to access that data with less reliance on the busy Central Analytics Technology team.

article thumbnail

The top 15 big data and data analytics certifications

CIO Business Intelligence

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The number of data analytics certs is expanding rapidly.

Big Data 125
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Business applications & the birth of BI. Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes.

article thumbnail

Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

article thumbnail

Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263
article thumbnail

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Jet Global

By seamlessly integrating industry-leading data intelligence and control features directly into your existing platform, embedded analytics unlocks significant advantages. Why Embedded Analytics? However, the right embedded analytics technology can alleviate these valid stakeholder and customer concerns.