CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 96

Manufacturing Data Architecture Strategy Data Strategy 96

Sisense

JULY 15, 2020

Once data is un-siloed, combined data sources can give a rich visualization around recruitment efforts, beyond the simple cost-to-hire numbers. Initially, forward planning is crucial, including the KPIs to focus on and report against. Nurit Shiber, Chief People Officer, Sisense. Next, understand how you will measure success.

Data-driven 84

Data-driven Metrics Business Driver Visualization 84

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. There are AI softwares for all kinds of purposes from writing, data visualization, feedback analysis and more. Intense competition at every level. And internet penetration is one of the main reasons behind all 3.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

AUGUST 15, 2019

AI Exploration automatically generates visualizations and deeper insights that anticipate the next question from a business user without the involvement of a business analyst. Release Q3 2019 Summary.

Slice and Dice 60

Slice and Dice Analytics Dashboards Business Driver 60

Alation

FEBRUARY 13, 2020

According to Gartner’s report Data Catalogs Are the New Black in Data Management and Analytics 1, “Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.”. Now that’s twice as nice, isn’t it?

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52