Big Data Analytics Platform Harmonizes Statistics in Every Sphere
Amelia Roblin — March 12, 2015 — Tech
References: datameer
This powerful big data analytics platform serves an increasingly important purpose as more and more information can be quantified, gathered and recorded for contemporary businesses. The question is now seldom, "How do we measure this?" Instead, managers wonder how to make sense of the sea of figures and statistics available. To sort through and understand this leads to great insight and ideas surrounding the best decisions for ensuring the success of a company.
Datameer is a big data analytics platform that brings together everything from social media and machine data to demographic information and transaction databases. All of this can be processed, stored and accessed within the software spreadsheets, enabling you to customize your own queries to solve unique problems. Results can be accessed on computers, tablets and smartphones, represented by highly visual graphs and charts.
Datameer is a big data analytics platform that brings together everything from social media and machine data to demographic information and transaction databases. All of this can be processed, stored and accessed within the software spreadsheets, enabling you to customize your own queries to solve unique problems. Results can be accessed on computers, tablets and smartphones, represented by highly visual graphs and charts.
Trend Themes
1. Big Data Analytics - The trend of utilizing powerful platforms like Datameer to analyze large amounts of data for valuable insights.
2. Integrated Information - The trend of integrating various sources of information, such as social media and transaction databases, into a single analytics platform.
3. Visual Data Representation - The trend of presenting data in visual graphs and charts for easier understanding and decision-making.
Industry Implications
1. Technology - The technology industry can utilize big data analytics platforms to enhance data analysis capabilities and gain a competitive edge.
2. Marketing - The marketing industry can use integrated information analyzers to gather data from multiple sources and gain valuable insights on consumer behavior and preferences.
3. Finance - The finance industry can leverage big data analytics platforms to analyze complex financial data and make informed investment decisions.
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