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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

Advanced vision and attention to detail: By its very nature, business intelligence is incredibly detail-oriented. You will need a great deal of forward-thinking vision and the ability to pay very close attention to detail to succeed in the fast-paced world of BI. A well-crafted business intelligence resume. BI consultant.

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The 4 Common Challenges of Predictive Analytics Solutions

Insight Software

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

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Accelerate Your Roadmap, Delight Your Customers: How Embedded Analytics Supercharges Your Application

Insight Software

Buy Embedded Analytics for Rapid Customer Value Your team can choose between two development approaches for analytics functionality: building the analytics your customers expect, or buying a third-party embedded analytics solution. Focus on core features and innovations, knowing analytics are covered.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Insight Software

Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities. While maintaining the core functionality of your offering is essential, neglecting these differentiating features can negatively impact customer retention. Ready to learn more?

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3 Ways Embedded Analytics Boosts Data Literacy

Insight Software

White-labelled embedded analytics software kicks this up a notch, but allowing you to beautify dashboards with your customer’s personal branding, guaranteed to catch the eye of their buying team. The Embedded Analytics Buyer’s Guide Download Now 2.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Insight Software

When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Predictive analytics refers to using historical data , machine learning, and artificial intelligence to predict what will happen in the future.

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

Insight Software

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.