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What to Consider When Moving Your CMDB Into Jira Service Management Cloud

Cprime

Investigating Existing Data Models: Understanding the current data structure, including how information is stored, categorized, and accessed, is paramount. It ensures that the migration aligns with organizational goals and meets user expectations.

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Data Science vs Data Analytics: Key Differences

Astera

Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.

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Chat GPT as a tool for business analysis

Analysts Corner

AI : The BABOK Guide defines various tasks and concepts related to business analysis, including requirements elicitation and analysis, process and data modeling, and stakeholder communication and management. This could help save time and effort in process and data modeling. Some suggestions include: 1. ID (primary key).

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Genie unlocks all your customer data—current and historical—in the Salesforce Customer 360 platform and beyond. Because it’s native to the Salesforce platform, you get the business user experience and developer extensibility, while realizing the power of the AppExchange for our ISVs. The power of the customer graph keeps going.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Genie unlocks all your customer data—current and historical—in the Salesforce Customer 360 platform and beyond. Because it’s native to the Salesforce platform, you get the business user experience and developer extensibility, while realizing the power of the AppExchange for our ISVs. The power of the customer graph keeps going.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

Embedded predictive analytics offers the development team the advantages of data-driven decision making, an enhanced user experience, and efficient resource allocation. This enables the team to create more intelligent and responsive applications that adapt to user behavior, preferences, and changing conditions.

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3 Ways Data Engineers Can Deal with Enterprise Data Pipelines

Sisense

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. Now Go Hybrid. This is the best of both worlds.