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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. One of the best solutions for data protection is advanced automated penetration testing. By 2012, there was a marginal increase, then the numbers rose steeply in 2014.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. We offer two examples where this may be the case.

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Making intelligent automation work at scale

CIO Business Intelligence

Spreading the news Telecom provider AT&T began trialing RPA in 2015 to decrease the number of repetitive tasks, such as order entry, for its service delivery group. The statistics in discovery create a scope of the problem and how each issue can be solved, whether by business redefining their process or by applying technology,” she says.

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Diversity for Businesses: What happens if Diversity is at odds with the organization?

Jen Stirrup

For the leaders, the simplest option can simply be doing nothing, but let someone run around burning themselves out so that eventually it becomes a test of patience and stamina, rather than a test of what is right and wrong. Davies Review (2015 ) I mproving the Gender Balance on British Boards. Further Reading.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). Journal of the American Statistical Association 68.341 (1973): 117-130. [5]