Remove Dashboards Remove Data Governance Remove Digital Transformation Remove Prescriptive Analytics
article thumbnail

Five Steps for Building a Successful BI Strategy

Sisense

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? Some organizations empower its end users with interactive dashboards. This is where the term citizen data scientist comes into play.

article thumbnail

Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

IBM Cloud Pak for Data Express solutions provide new clients with affordable and high impact capabilities to expeditiously explore and validate the path to become a data-driven enterprise. IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture.

Insiders

Sign Up for our Newsletter

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

article thumbnail

A Guide to Data Analytics in the Travel Industry

Alation

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

article thumbnail

What Is Data Intelligence?

Alation

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.

article thumbnail

The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. What are the new trends around the Data solution architecture (centralized vs de-centralized?). where performance and data quality is imperative?