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How Data Cleansing Helps Predictive Modeling Efforts

TDAN

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.)

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How Data Analytics Tools Eliminate Business Owner Headaches

Smart Data Collective

Big data has the power to transform any small business. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today. Creating predictive models. Analysis of profitability and customer value.

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How Skullcandy Uses Predictive and Sentiment Analysis to Understand Customers

Sisense

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

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2020 Data Impact Award Winner Spotlight: Globe Telecom

Cloudera

Entrants in this award category are so important to recognize because of how they tie every piece of their data strategy together. And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. .

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Why Analytics Are Essential in Times of Crisis

Sisense

Automate, track, and predict positive outcomes. With a solid data strategy, the team is able to tie together retail data and sales performance, analyzing billions of rows of data from nearly a dozen different retail data sources. Best of all, data preparation is 70% automated. Insights over instinct.

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AI In Analytics: Today and Tomorrow!

Smarten

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.