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The evolving role of CFO is driven by data

CIO Business Intelligence

Data has always been central to agile business planning, forecasting and analysis – all tools which have become central to the modern CFO role. This level of data collection and insight requires the right technology. This all helps reconcile data from a wide variety of different sources into a trusted, compliant platform.

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Serving the Public Through Data

Cloudera

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

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Understanding Structured and Unstructured Data

Sisense

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Understanding data structure is a key to unlocking its value. Structured vs unstructured data.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. and constantly report this data to backend.

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Top 10 Analytics Trends for 2019

Timo Elliott

Compliance drives true data platform adoption, supported by more flexible data management. As it has been for the last forty years, data collection, preparation, and standardization remain the most challenging aspects of analytics. Traditional analytics focused on structured data flowing from operational systems.