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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

Let’s start by considering what KPIs are and what they mean in a business context. KPI is a value measured to assess how effective a project or company is at achieving its business objectives. As such, performing an audit of your data sources is essential. What Is A KPI? click to enlarge**. click to enlarge**.

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

Encored Technologies (Encored) is an energy IT company in Korea that helps their customers generate higher revenue and reduce operational costs in renewable energy industries by providing various AI-based solutions. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

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12 considerations when choosing MES software

IBM Big Data Hub

Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. Proper planning and preparation will contribute to a successful MES implementation and maximize its benefits for your organization.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. These software applications integrate off-premises and cloud-based environments to deliver unified cloud deployment and management capabilities.

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How to choose the best AI platform

IBM Big Data Hub

These development platforms support collaboration between data science and engineering teams, which decreases costs by reducing redundant efforts and automating routine tasks, such as data duplication or extraction. What types of features do AI platforms offer?