Big Data Management

Building a Data Management Strategy for Your Nonprofit

June 14, 2022

Salesforce
In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors.

A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

Spotlight

EMBL-EBI

Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. We help scientists realise the potential of ‘big data’ in biology, empowering them to exploit complex information to make discoveries that benefit mankind…

OTHER WHITEPAPERS
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Four Reasons Your Metadata Is Broken

whitePaper | April 1, 2021

Metadata is more important now than ever. New technologies have enabled businesspeople who have traditionally not been analysts to work with data. The consumerization of IT means people expect systems to be intuitive and require little training. With so many people using data to support so many kinds of decisions, it’s critical that your data is described, defined, and understood.

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HPE Data Management Framework

whitePaper | December 8, 2022

HPE DMF v7 policies can be configured to migrate and store copies of both new and updated files in the capacity tier at specific intervals or after certain periods of file change inactivity. This effectively implements a high-quality, granular backup of a very large filesystem. DMF will automatically make backup copies of files and metadata on a rolling basis using policy definitions that can be tailored by administrators.

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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Implementing an Operational Data Layer for Product Catalog Modernization

whitePaper | September 27, 2022

The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.

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Tackling climate change with data science and AI

whitePaper | April 2, 2023

In this white paper, we share how The Alan Turing Institute’s AI for science and government (ASG) programme has been using collaborative and multidisciplinary data science and AI to help tackle climate change.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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Spotlight

EMBL-EBI

Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. We help scientists realise the potential of ‘big data’ in biology, empowering them to exploit complex information to make discoveries that benefit mankind…

Events