Agile Data Governance IBM Support 
Astera
AUGUST 8, 2023
Point-and-Click Navigation: Astera enables smooth navigation via point-and-click actions, letting users add, modify, and track changes for transparent data transformations. Interactive Data Grid: The tool offers agile data correction and completion capabilities allowing you to rectify inaccurate data.
Business Analysis Knowledge Share
OCTOBER 24, 2023
It contains a focused set of data relevant to a particular group, making it easier for Business Analysts in that area to access and analyze data pertinent to their operations. Data Warehousing Technologies Several technologies support Data Warehousing, each with its strengths and use cases: 1.
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Astera
APRIL 10, 2023
A staggering amount of data is created every single day – around 2.5 quintillion bytes, according to IBM. In fact, it is estimated that 90% of the data that exists today was generated in the past several years alone. The world of big data can unravel countless possibilities. Talk about an explosion!
Leading Agile
NOVEMBER 15, 2024
Agile methodologies promised transformative value but, in many large enterprises, Agile has become commoditized—a standard process that teams follow rather than a strategic driver. We’ll begin with a return to agile’s core principles, focusing on team autonomy, feedback loops, and iterative delivery.
Insight Software
JANUARY 2, 2025
By combining self-learning artificial intelligence with governed, secure, and vendor-agnostic frameworks, Logi AI sets the gold standard for BI tools. Data Exposure Risks Public AI models require training on external data, exposing sensitive dashboards, proprietary metrics, and client information to unknown entities.
Insight Software
FEBRUARY 21, 2025
Whether organizations want to increase staff, tech investments, or both, its clear that scalable, agile solutions are needed to meet the office of finances ever-evolving needs. Close skills gaps with self-service. Connect to JD Edwards in real time.
Insight Software
MARCH 23, 2023
Self-service’ capabilities like Self-Service BI are the manifestation of this expectation within many technologies. Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. Put simply, ‘self-service’ relates to true autonomy.
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