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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

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How organizations can successfully measure an application health monitoring process

IBM Big Data Hub

Organizations cannot risk unnecessary unplanned downtime or increased latencies because an application failed or underperformed. Software downtime is a huge organizational risk because it decreases customer satisfaction and potentially violates a service-level agreement with end users.

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Invoking IT to help revitalize Indigenous languages at risk of extinction

CIO Business Intelligence

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98
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Top Solutions for Cybersecurity Regulatory Compliance

Smart Data Collective

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Is Your Business Compliant?

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Data privacy examples

IBM Big Data Hub

Deploying privacy protections: The app uses encryption to protect data from cybercriminals and other prying eyes. Even if the data is stolen in a cyberattack , hackers can’t use it. These access controls reduce the chances that the data is used for unauthorized or illegal purposes.

Risk 87
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Incorporating Data Analytics in Fast Food Legal Cases

Smart Data Collective

In the realm of legal affairs, data analytics can serve as a strategic ally. By analyzing trends, patterns, and relationships within data, attorneys can derive insights to fortify their case strategy and enhance their legal argument. This involves data collection , data cleaning, data analysis, and data interpretation.

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Bringing an AI Product to Market

O'Reilly on Data

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 362