2016 Big Data Maturity Survey Infographic

June 22, 2016

Hadoop continues to be the fastest growing force in Big Data. Separate hype from reality and get insight from Big Data professionals at 1,400 companies across 77 countries. Big Data is Strategic Two-thirds (66%) view Big Data as “Strategic” or “Game Changing”, while only 19% of respondents consider it experimental. In 2015, BI overtook ETL as the #1 workload planned for Big Data. This trend con3nues in 2016. Business Intelligence is #1 workload for Big Data with 75% of respondents planning on using BI on Big Data. BI: #1 Use Case for Big Data In 2015, BI overtook ETL as the #1 workload planned for Big Data. This trend continues in 2016. Business intelligence is #1 workload for Big Data with 75% of respondents planning on using BI on Big Data

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Swan Insights

Swan Insights is a Big Data company providing new-generation Business Information solutions. We scan the whole business world and bring you what you really need to do better business: know your market, build your sales pipelines, close deals faster, improve customer loyalty…

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Transversing the Landscape of Big Data

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This exclusive visualization normalizes survey responses to form a terrain describing today’s data and analytics landscape. Survey instrument designed by Forbes Insights and McKinsey in partnership with Teradata.

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Optimize operations: Plan. Manage. Maximize.

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Today, there’s no shortage of data. What is in short supply is actionable insight. Using big data and analytics to link insights to action can improve business process optimization and asset productivity, so you can increase efficiencies. Take action based on predictive analytics, not routine. Be more strategic. Decide faster. Reduce downtime. And proactively reduce risk.

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10 Steps to Make your Big Data Investment Pay Off

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This infographic summarizes Episode 7 of the Analytics on Fire Podcast. It start at TE Connectivity, Naveen Narra manages the Business Intelligence, architecture and big data solution teams for over 4,000 BI Users. Naveen and his team exemplifies "analytics success." Their secret is a proven approach that focuses on building momentum with tactical wins. Here are 10 steps that he used to gain buy-in from executives to tackle more strategic big data opportunities using modern in-memory analytics tools like SAP HANA…

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Is using the cloud for big data analytics gaining transaction in the enterprise

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It is a common belief that enterprises are cloud-averse and startups are cloud-happy. It’s hard to argue with the latter point given that today most startups, from Airbnb to Zynga, run their mission-critical infrastructure in the cloud. This generation of companies, growing up in the cloud era, never needed to run datacenters at their headquarters. They’ve enjoyed the cloud’s myriad benefits, such as easy deployment and upward and downward scalability, since inception.

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What do data scientists do on a daily basis?

Infographic | January 16, 2017

In simple terms, a data scientist’s job is to analyze data for actionable insights. Data scientists spend most of the time on data cleaning, making the data ready for the models and the cool algorithms finding the hidden patterns. Much time is also spent in writing documentation regarding your “discoveries” and delivering the final product. For instance, a data scientist spend 2 weeks analyzing a data set and now it is time to present the results to a business audience.In this infographic, we list 8 tasks data scientists do on a daily basis.

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Big Data - The Next Essential and It's Challenges

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The use of Big Data is becoming a crucial way for leading companies to outperform their peers. In most industries, established competitors and new entrants alike will leverage data-driven strategies to innovate, compete, and capture value. Indeed, we found early examples of such use of data in every sector we examined. In healthcare, data pioneers are analyzing the health outcomes of pharmaceuticals when they were widely prescribed, and discovering benefits and risks that were not evident during necessarily more limited clinical trials. Other early adopters of Big Data are using data from sensors embedded in products from children’s toys to industrial goods to determine how these products are actually used in the real world. Such knoiwledge then informs the creation of new service offerings and the design of future products…

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Swan Insights

Swan Insights is a Big Data company providing new-generation Business Information solutions. We scan the whole business world and bring you what you really need to do better business: know your market, build your sales pipelines, close deals faster, improve customer loyalty…

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