Remove 2020 Remove Big Data Remove Data Modelling Remove Innovation
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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. QlickSense.

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5 Step Process For Insightful Data Driven Business Decision Making

Smart Data Collective

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Write Down Your Objectives.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. This may include combining variables, creating new variables based on existing ones, and scaling the data.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Steps to building a highly accurate predictive model for AML. REFERENCES. [1]

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

Whizlabs

In the year of 2020, with everyone working from home, better cloud storage and computing strategies have helped many organizations to grow higher while some were struggling to adapt to the changes. Some of his must read write-ups are 5 Pillars of Innovation , The 20/20 Vision of Cloud , and Making Smart Cloud Choices in Uncertain Times.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

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What Is Embedded Analytics?

Insight Software

The program offers valuable data analysis-based services such as benchmarking and personalized fitness plans. Visual Analytics Users are given data from which they can uncover new insights. The data set for each end user can be restricted depending on the user’s role. Look for the ability to parameterize and tokenize.