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What I Learned At Gartner Data & Analytics 2022

Timo Elliott

First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business. And the best way to do that is to embed data, analytics, and decisions into business workflows.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Tesla is another company that picks up data from their cars and also analyzes traffic and weather. One leverages data to improve their supply chain resilience while the other to improve their product innovation. With big data, brands want to improve their value offerings. Product/Service innovation.

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Why Good Data Management Is Essential to Data Analytics

Insight Software

It’s hard to imagine taking that step, though, without first getting a handle on the organization’s existing data. Reining in all of this complexity is a critical first step in the process of creating a strategically relevant data analytics program. First, you must make all of those data available in a centralized repository.

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Big Data Sets New Standards In Stream Processing For Emerging Markets

Smart Data Collective

Big data stream processing can allow businesses including some emerging markets to deal with a vast amount of information while it’s still in motion, as contrasted to waiting for the data to be stored in a data warehouse. In addition, stream processing can also be used for analyzing big data or large quantities of data.

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Acquisitions on the Horizon in BI and Data Analytics Industry?

Sisense

2019 can best be described as an era of modern cloud data analytics. Convergence in an industry like data analytics can take many forms. We have seen industry rollups in which firms create a collection of analytical tools under one brand. Realizing a Flexible, Multi-Cloud, Open-Platform, Data Hub-Driven Future.

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Optimize your Go To Market with AI and ML-driven Analytics platforms

BizAcuity

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. The platform consists of four layers independently developed in a service-oriented architecture which makes it highly scalable and fault-tolerant: Data Ingestion/Data Lake Layer.