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Putting the Business Back Into Business Innovation

Timo Elliott

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.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

And that is why: with BI you rely on a broader range of data, get deeper insights into the market, have a better vision of your companies strengths and weaknesses, receive trustworthy forecasts on business trends and get data-backed actionable tips on developing your business. SAP Lumira.

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Business Analysis Digest #37

Passionate BA

Yulia discusses the importance of accurate data modeling, pointing out missing entities, vague relationships, or overly complex designs. By addressing these common pitfalls, the article provides valuable guidance for domain and data modeling. The piece also stresses the potential pitfalls of misalignment.

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What to Consider When Moving Your CMDB Into Jira Service Management Cloud

Cprime

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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5 Types of Requirements Documents Business Analysts Create

Bridging the Gap

This specification might also be referred to as a business case or a vision document, or a business requirements document, although in practice, VRDs typically include many additional sections that would include functional requirements. This is the very first type of document that you want to create on just about any type of project.

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Why CIOs Should Weave Data Fabrics Into Their Orgs

Domo

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 bottom line.

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Customer Success: Earning Trust Through Partnership

Sisense

Learning about their day-to-day needs and long-term vision allows us to use our internal expertise to map out a customer journey and guide them each step of the way. Sisense is delivering a beautiful front-end experience, powerful and flexible data modeling, and the opportunity to integrate at a very deep level.”