Data Modelling Digital Vision 
Timo Elliott
DECEMBER 14, 2022
The industry analysts all have a similar vision of what that agile future of business looks like. The end result is that business people get the data and innovation they need, where they need it—as an integral part of your existing business workflows—without wasteful and costly data duplication and reinterpretation.
Sisense
MAY 21, 2020
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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Whizlabs
APRIL 19, 2021
It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Some of his must read write-ups are 5 Pillars of Innovation , The 20/20 Vision of Cloud , and Making Smart Cloud Choices in Uncertain Times. This is where the Cloud Thought Leaders and Next Generation Leaders stepped in.
Tableau
JANUARY 27, 2021
In 2020, we released some of the most highly-anticipated features in Tableau, including dynamic parameters , new data modeling capabilities , multiple map layers and improved spatial support, predictive modeling functions , and Metrics. With data at its core, the Customer 360 is a key enabler for digital transformation.
Actian
NOVEMBER 26, 2019
The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Vision is Great, but Realizing That Vision can be Difficult.
Domo
OCTOBER 22, 2021
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? The bottom line.
Cprime
SEPTEMBER 7, 2023
Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. Mapping Old to New: A crucial part of this stage involves mapping the existing data structure to the new one, ensuring no loss of essential information.
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