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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

One leverages data to improve their supply chain resilience while the other to improve their product innovation. The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem.

Big Data 130
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Future of Power BI | Is it worth learning?

The BAWorld

The same report also shows that Microsoft, for the sixth consecutive time, is placed furthest to the right for Completeness of Vision and also highest in the Ability to Execute in the Magic Quadrant. Reference: AmbitionBox Mid-Level (3–5 Years): Salary Range: ₹6 Lakhs to ₹9.4 Lakhs per annum.

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Top 17 Real-Life Predictive Analytics Use Cases

Marutitech

Predictive analytics refers to the use of machine learning algorithms and statistics to predict future outcomes and performances. Supply Chain Management. Poorly developed supply chains eventually affect every area of business. Click here to read the use cases of machine learning in supply chain management.

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Change Management in Business Analysis for Data Analytics Projects

Business Analysis Knowledge Share

Whether it’s optimizing supply chain operations, understanding customer behavior, or predicting market trends, data analytics has the power to transform every aspect of an organization. It helps bridge the gap between the technical aspects of data analytics and the strategic vision of the company.

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5 things manufacturers need to know about digital accessibility

Ntara

In early 2019, even Beyonce was hit with an accessibility lawsuit from a woman who had no vision claiming the website was not fully accessible for her and millions of others. This digitization of the customer and supply chain was necessary to stay competitive which means a majority of customers have moved dramatically toward online channels.

Digital 78
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Digital commerce leaders must adopt a PXM mindset

Ntara

Successful PXM deployments have the following components: PXM vision and architecture Data source automation PIM + DAM Channel syndication Ongoing optimization The systems are developed and maintained using a MACH approach, meaning that as business conditions (and buyer behavior) change, the system is nimble enough to be quickly adapted.

Digital 52
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Beyond OCR Form Processing: The Comprehensive Guide to Intelligent Form Data Extraction 

Astera

OCR form processing specifically refers to the application of OCR technology to extract data from forms. AI can apply techniques such as machine learning, natural language processing, computer vision, and deep learning to analyze, interpret, and validate the data from forms.