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

Stream Intelligence

Stream Intelligence is a data and analytics consultancy that answers business challenges through the intelligent use of (big) data and advanced analytics. We partner with organisations to make their data a source of innovation and revenue growth. We also help companies monetise their data assets, moving data from a cost centre to a profit centre. We approach our client engagements strategically, by identifying the key business challenges and objectives, before diving into rigorous and robust data analysis…

OTHER WHITEPAPERS
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Targeted Attack Analytics

whitePaper | December 16, 2019

Symantec combines targeted attack analytics with research from our Attack Investigator Team (AIT) to find advanced attacks; our analytics evolve to match new attack patterns. Breach detection is one example of how our analytics help stop deliberate incursions.

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The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

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The 2022 State of Data and What’s Next

whitePaper | February 24, 2022

Today’s business relies on access to critical data more than ever to remain ahead of the competition. Due to the challenges over the last two years, organizations must respond to greater demand for data access and a shift to supporting AI/ML in a complex, hybrid multi-cloud environment. Organizations need to become nimble in providing fast, reliable access to data anytime, anywhere, throughout their increasingly complex, integrated enterprise.

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The Definitive Guide to Test Data Management

whitePaper | November 10, 2022

In this hyper-competitive era, faster time-to-market plays a vital role in the success of an organization. Any lag accounts for the 'Cost of delay,' impacting the value a product could create otherwise. This is the primary reason teams are adopting an agile approach to software development, testing, and release. Unfortunately, teams that don't follow suit find it challenging to deal with this accelerated timeframe.

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The Future of Unstructured Data Processing

whitePaper | July 25, 2022

Experts estimate that the average person generates more than 1.7 MB of digital data per second, amounting to over 2.5 quintillion bytes per day. However, as the world becomes increasingly digitized and networked, experts predict that, on average, people will produce 463 exabytes of data per day by 2025.

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SaaS and The Evolution of Cloud-Based Data Management

whitePaper | December 21, 2022

The evolution of cloud-based technology is continuing to reshape the data management landscape. As data volumes increase, users in different industries are demanding flexible, scalable processes that enable them to leverage a wider variety of sources, uncover new insights and confidently make decisions that will drive their businesses forward.

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Spotlight

Stream Intelligence

Stream Intelligence is a data and analytics consultancy that answers business challenges through the intelligent use of (big) data and advanced analytics. We partner with organisations to make their data a source of innovation and revenue growth. We also help companies monetise their data assets, moving data from a cost centre to a profit centre. We approach our client engagements strategically, by identifying the key business challenges and objectives, before diving into rigorous and robust data analysis…

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