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8 data strategy mistakes to avoid

CIO Business Intelligence

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

The second will focus on the growth in volume and type of data required to be stored and managed, and the ways in which value can be extracted from data. The third will examine the challenges of realising that value, the attributes of a successful data-driven organisation, and the benefits that can be gained.

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Is Your Data Management Infrastructure Modern Enough for IoT?

Hurwitz & Associates

Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes.

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Transforming Big Data into Actionable Intelligence

Sisense

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The new architecture requires that data be structured in a dimensional model to optimize for BI capabilities, but it also allows for ad hoc analytics with the flexibility to query clean and raw data. Importantly, both workflows for data analytics are supported by a set of data models that follow the same data pipeline.