IBM Big Data Hub

NOVEMBER 2, 2022

Most recently we held an event at the IBM Data and AI Forum in Germany ( available on demand here ) where we shared the latest news in our business analytics portfolio. This suite of solutions helps transform the way clients can access, manage and consume business insights.

Data-driven 60

Data-driven Business Analytics Analytics Forecasting 60

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Birst BI

JANUARY 16, 2018

Yes, today a user with no training can take a dashboard that someone else built, make choices from drop-down menus to filter the data, double click on a chart to drill down into it, and other basic actions. For the vast majority of information workers, this is the definition of self-service analytics.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 144

Analytics Machine Learning Insurance Testing 144

Jet Global

FEBRUARY 2, 2023

Top KPIs for construction, engineering, and subcontractors include: Safety Keeping a safe site ensures employees work in an environment with less risk while saving your business time and money. Safety incidents lead to mounting costs, including increased insurance payments and settlements.

Uncertainty 52

Uncertainty KPI Reporting Measurement 52

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Peter James Thomas

JUNE 3, 2019

Analytics Expert – Similar to the Data Scientists, centralised “hub” staff might work more on standards (e.g. Oxbow Partners are an advisory firm for the insurance industry covering Strategy, Digital and M&A. for Data Visualisation), developing frameworks to be leveraged by others (e.g.

Data Governance 45

Data Governance Cost-Benefit Insurance Consulting 45