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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

The corresponding growth of system-wide analytics product development and deployment has made the enterprise data infrastructure a significant variable in the equation of business analytics success. Pure analytics solutions can boost performance all across that data environment. These may not be high risk.

Analytics 166
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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

17 software developers met to discuss lightweight development methods and subsequently produced the following manifesto : Manifesto for Agile Software Development: Individuals and interactions over processes and tools. That way, your feedback cycle will be much shorter, workflow more effective, and risks minimized. Accept change.

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Moving beyond spreadsheets with IBM Planning Analytics

IBM Big Data Hub

If there was ever an example of key-person risk, this was it. We stumbled our way through the next budget process as best we could, until we came across IBM Planning Analytics with Watson. There’s little doubt in my mind that our investment in IBM Planning Analytics paid for itself several times over.

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Quickly Clean Your SAP Supply Chain Data of Pollution

Jet Global

They are the driver of every global company, manufacturer, and supplier, but they are increasingly susceptible to adverse risks. Businesses must now account for the disruptions and backlogs that are commonplace in today’s market. Control risks and process compliance issues such as Segregation of Duty. Get a Demo.

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Shared Data Reporting: Deep Excel Functionality Meets Web-Based Dashboards

Jet Global

Manual data exports dramatically increase the risk of error, and often the analysis is out of date by the time it reaches your stakeholders. As your leaders aim to nimbly maneuver the business through troubled waters, they need up-to-date information and in a format that allows them to generate their own insights.

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3 Ways to Replace Distrust of Your SAP Data With Confidence

Jet Global

By knowing that data has undergone thorough cleansing and validation processes, users are more likely to trust and rely on it for their financial analysis and decision-making, reducing the risk of errors and misstatements in the process. Additionally, these solutions can minimize the risk and maximize the reward of moving to S/4HANA.