Remove 2022 Remove Data Quality Remove Forecasting Remove Reporting
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New Research Finds Data Quality Chasm Looms as Organizations Strive for Data Fluency

Jet Global

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. Many organizations are not there, yet.

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IBM named a leader in ESG reporting and data management software by independent research firm

IBM Big Data Hub

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

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MRO spare parts optimization

IBM Big Data Hub

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient.

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Why Finance Teams are Struggling with Efficiency in 2023

Jet Global

The results are in–for the third year in a row, insightsoftware has partnered with Hanover Research to deliver our yearly Finance Team Trends Report. And on the other, internal pressures like the need for more frequent, accurate forecasting force CFOs to re-evaluate their existing tools and processes. Struggling With Skills Shortages?

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The Rise of Unstructured Data

Cloudera

Most of that data will be unstructured, and only about 10% will be stored. Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022. The rate of data growth is reflected in the proliferation of storage centres.

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3 Massive Cost-Saving Benefits of Smart Data for Businesses

Smart Data Collective

Another way in which businesses can reduce their expenses is by using smart data. Companies around the world are projected to spend $274 billion on big data by 2022. One of the reasons that the market is growing so rapidly is that smart data is improving the quality of data-driven business models.

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Better Forecasting with AI-Powered Time Series Modeling

DataRobot Blog

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.