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How to Run Successful Predictive Analytics Project for your Business

Marutitech

With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?” Over or underfitting the predictive analytics solution is a common mistake that any data scientist makes while developing their model.

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What is a database?

Astera

These databases are suitable for managing semi-structured or unstructured data. Types of NoSQL databases include document stores such as MongoDB, key-value stores such as Redis, and column-family stores such as Cassandra. These databases are ideal for big data applications, real-time web applications, and distributed systems.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. Lori’s must read blogs are The Third Wave of Cloud is Cresting , The Fourth Wave of Cloud is Imminent and Will the Emerging Edge Fix My Digital Gaming Experience? Follow Lori MacVittie on Twitter , LinkedIn , and Blog/Website.

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

Insight Software

For example, in an e-commerce application, predictive analytics can help anticipate spikes in traffic during specific events or seasons, allowing the team to scale server capacity accordingly. This prevents over-provisioning and under-provisioning of resources, resulting in cost savings and improved application performance.

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What Is Embedded Analytics?

Insight Software

Amazon Amazon is the leading e-commerce site. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Look for those that do not require data replication or advanced data modeling.

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4 Ways Tax Technology Enables Compliant Transfer Pricing

Insight Software

Auditors and regulators require extensive documentation, and if they find that transfer pricing has been done incorrectly or inappropriately, they may be required to restate financial results. So too, does the manual effort required to keep abreast of all that incoming data. Overcoming Transfer Pricing Challenges in the Digital Age.