CIO Business Intelligence

FEBRUARY 16, 2023

That step, primarily undertaken by developers and data architects, established data governance and data integration. The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? When working with customers we’ve found that a good place to start is with finance and sales data. Do you want to be more efficient?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Andrew White

JANUARY 11, 2021

Which industry, sector moves fast and successful with data-driven? Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. What’s your view in situation where the IT function still reports to CFO (Finance Director)?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

Metadata 64

Metadata Data Governance Dashboards Software 64