Big Data & Analytics Reference Architecture

| September 17, 2013

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Data is often considered to be the crown jewels of an organization. It can be used in myriad ways to run the business, market to customers, forecast sales, measure performance, gain competitive advantage, and discover new business opportunities. And lately, a convergence of new technologies and market dynamics has opened a new frontier for information management and analysis. This new wave of computing involves data with far greater volume, velocity, and variety than ever before. Big Data, as it is called, is being used in ingenious ways to predict customer buying habits, detect fraud and waste, analyze product sentiment, and react quickly to events and changes in business conditions. It is also a driving force behind new business opportunities.

Spotlight

Gramener

Gramener is a data visualization and analytics company - Founded in 2010 by Ex-IBM and BCG leaders, addresses essential need of making the “consumption” of data - simpler, coherent across organizations and rapid. Gramex: Data Visualization Platform (patent pending) , is a flexible visual product builder with built in data connectors for major data sources (SAP, Teradata, SQL, Hadoop etc.) Gramex platform is the only Automated Analysis, scalable visualisation offering in the market with an ability to process arbitrarily large data real time on multiple servers. With offices in California, Hyderabad & Bangalore, Gramener today has 70+ clients spread across Pharma, Media, Telecom, BFSI, Retail, Healthcare, Airlines ,Manufacturing, Education and Public Sectors who are served by 100+ Smart Data enthusiasts to solve complex business problems.

OTHER ARTICLES

COMBATING COVID-19 WITH THE HELP OF AI, ANALYTICS AND AUTOMATION

Article | April 9, 2020

Across the world, governments and health authorities are now exploring distinct ways to contain the spread of Covid-19 as the virus has already dispersed across 196 countries in a short time. According to a professor of epidemiology and biostatistics at George Washington University and SAS analytics manager for infectious diseases epidemiology and biostatistics, data, analytics, AI and other technology can play a significant role in helping identify, understand and assist in predicting disease spread and progression.In its response to the virus, China, where the first case of coronavirus reported in late December 2019, started utilizing its sturdy tech sector. The country has specifically deployed AI, data science, and automation technology to track, monitor and defeat the pandemic. Also, tech players in China, such as Alibaba, Baidu, Huawei, among others expedited their company’s healthcare initiatives in their contribution to combat Covid-19.

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How Better Asset Data Drives Better Capital Planning

Article | April 16, 2021

What are your physical assets telling you? Are they performing to design capacity? Are they providing the expected return on investment? Are they aging and in need of capital investment or replacement? We live in an increasingly data-rich environment, and successful companies must take full advantage of transforming data to information. Among manufacturers there’s growing awareness of how data and analytics can drive operations and maintenance, predicting breakdowns and reducing downtime. However, it’s possible to go further. A mostly untapped opportunity for manufacturers exists in the use of operational data from the factory floor to inform better capital allocation decisions.

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Put Publicly Available COVID-19 Data to Work for Your Business—Fast

Article | April 13, 2020

There’s a lot of information out there related to COVID-19. But right now—when it’s more important than ever to quickly access and analyze data —figuring out how to effectively use COVID-19 data to better manage your business can still be a challenge. We can help. Several customers have leveraged their Incorta platforms to instantaneously integrate COVID-19 data into their enterprise data and analytics dashboards.

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What Is The Value Of A Big Data Project

Article | April 7, 2020

According to software vendors executing the big data projects, the answer is clear: More data means more options. Then add a bit of machine learning (ML) for good measure to get told what to do, and the revenue will thrive.This is not really feasible. Therefore, before starting a big data project, a checklist might come in handy.Make sure that the insights gained through machine learning are actionable. Gaining insights is always good, but it is even better if you can act on this new knowledge.A shopping basket analysis shows which products are sold together. What to do with that information?Companies could place the two products in opposite corners of the shop, so customers walk through all areas and will find other products to buy in addition. Or they could place both products next to each other so each boosts the sales of the other. Or how about discounting one product to gain more customers?As all actions have unknown side effects, companies have to decide for themselves which action makes sense to take in their case.

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Spotlight

Gramener

Gramener is a data visualization and analytics company - Founded in 2010 by Ex-IBM and BCG leaders, addresses essential need of making the “consumption” of data - simpler, coherent across organizations and rapid. Gramex: Data Visualization Platform (patent pending) , is a flexible visual product builder with built in data connectors for major data sources (SAP, Teradata, SQL, Hadoop etc.) Gramex platform is the only Automated Analysis, scalable visualisation offering in the market with an ability to process arbitrarily large data real time on multiple servers. With offices in California, Hyderabad & Bangalore, Gramener today has 70+ clients spread across Pharma, Media, Telecom, BFSI, Retail, Healthcare, Airlines ,Manufacturing, Education and Public Sectors who are served by 100+ Smart Data enthusiasts to solve complex business problems.

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