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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 increasingly depend on their technology stack—which comprises the totality of their network interfaces, CPUs, virtual machines, operating system information and installed applications—to deliver consistent service to the end user. Applications fail or underperform for many different reasons.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

Nowadays, information consumption is skyrocketing. This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. Where does big data come from?

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Data-Driven Organizations Must Use Talent Analytics Wisely

Smart Data Collective

Understanding HR Metrics HR metrics, also known as HR analytics or HR key performance indicators (KPIs), are quantitative measurements used to assess various aspects of an organization’s human resources function. Additionally, we will discuss how to effectively implement HR metrics to maximize their impact.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. To work effectively, big data requires a large amount of high-quality information sources. UPS drivers now only turn left about 10% of the time, opting to go straight or turn right instead.

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Tackling Bias in AI Translation: A Data Perspective

Smart Data Collective

Let us uncover its implications in AI translation and discover effective strategies to combat them. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. Identifying such disparities and understanding the underlying causes to develop targeted mitigation strategies is crucial.

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