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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

It’s much easier said than done to break down data silos and to make processes more agile and nimble across a variety of stakeholder groups—mainly because each respective organization is centrally managed, but also because of the era we are in. What is a data fabric?

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

Even though we create a tremendous amount of it (90% of the world’s data was created in the past year), research shows that we are only using 1% of this data. The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. On-demand compute resources and MPP cloud data warehouses emerged.

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings.

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Building Bridges — Best Practices for BI Teams Working with Data Teams

Sisense

In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. Selecting and implementing a new BI and analytics platform is a big decision and can be a vital part of an organization’s digital transformation.

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Use Automation and Analysis to De-Fog Your Supply Chain

Insight Software

As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. Many operational reporting teams remain buried under static PDF reports or rigid native ERP functionalities.

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Streamline Your Financial Reporting with Jet

Insight Software

Your on-prem or cloud-hosted Jet Analytics implementation enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or data models. I understand that I can withdraw my consent at any time.