Evolution, Not Revolution

June 15, 2016

Evolution, Not Revolution. Assessing the State of Sales and Marketing Analytics. 70% VS. rate sales and marketing analytics as “very” or “extremely” important. 2% say that their analytics efforts have had a “broad, positive impact.” The broken links are at either end of the analytics value chain. This is where most analytics opportunities now lie.

Spotlight

FusionForte

• Big Data ecosystem: Data Scientists with Hadoop, MapReduce, Cassandra, R, Lucerne, Perl, Python, SAS, Matlab, with experience in cleansing, crunching, semi-structured and unstructured datasets. Experience in Data Products, Predictive modeling, statistics and trend analysis, Machine learning, statistical analysis and modeling, Regression including linear, logistic, generalized linear models, survival (Cox) models. Decision trees, support-vector machines and boosting, Bayesian models, Clustering, Time series and forecasting

Other Infographics
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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

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A global study of data workers' activities

Infographic | July 1, 2022

But modern data workers also perform data science and data application development activities, which require additional commercial and open-source software.

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Data analytics infographic vector image

Infographic | March 12, 2020

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.

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Top Trends in Data Protection

Infographic | June 14, 2022

In late 2021, an independent research firm surveyed over 3,000 IT decision makers and IT professionals about their IT and data protection drivers and strategies heading into 2022.

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Maximize the value of your data

Infographic | October 1, 2021

Some of the top benefits organizations saw from machine learning include lower costs, improved workforce productivity, increased sales, and much more. Red Hat and Intel can help you quickly tap into these benefits from one unified platform that focuses on pulling value from data with AI and analytics.

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Ai in Manufacturing

Infographic | December 16, 2019

AI enables organization to optimize product availability by decreasing out of stocks and spoilage. AI can also help with getting a better understanding of sales patterns. AI enables organizations to expediate product development and R&D by reducing the test times and driving more concrete insights from customer data and demands

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Spotlight

FusionForte

• Big Data ecosystem: Data Scientists with Hadoop, MapReduce, Cassandra, R, Lucerne, Perl, Python, SAS, Matlab, with experience in cleansing, crunching, semi-structured and unstructured datasets. Experience in Data Products, Predictive modeling, statistics and trend analysis, Machine learning, statistical analysis and modeling, Regression including linear, logistic, generalized linear models, survival (Cox) models. Decision trees, support-vector machines and boosting, Bayesian models, Clustering, Time series and forecasting

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