Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. If storage costs are escalating in a particular area, you may have found a good source of dark data. Storing data isn’t enough. Use people.

Chief Data Officer 333

Chief Data Officer Embedded Analytics Data Governance Data Warehouse 333

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process. The post Why CIOs Should Weave Data Fabrics Into Their Orgs first appeared on Blog.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Sisense

OCTOBER 14, 2020

Implementing analytics at your company is a multi-team job. Here, we focus on the role of the data team in successfully applying advanced analytics and ensuring that you get the most from your data to make your organization truly data-driven. Everyone wins!

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Sisense

NOVEMBER 5, 2021

Analytics are evolving: The first generation, which was very IT-driven, gave way to a more democratized, self-service paradigm. Users want personalized analytics where, when, and how it makes sense to them. Radial delivers a modern analytics experience with Sisense. Building great analytics is only the beginning.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Insight Software

MARCH 13, 2024

Between complex data structures, data security questions, and error-prone manual processes, merging data from disparate sources into a single system can quickly turn your routine reporting processes into a stressful and time-consuming ordeal.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52