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Top 10 Advantages of Using Data Analytics in the Retail Industry

[fa icon="calendar'] Oct 17, 2017 5:19:35 AM / by Jag Bethi posted in Data Analytics in retail, data analytics in retail industry, data analytics service

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Retail industry is witnessing a rapid change from the last decade.

Ecommerce portals are replacing brick and mortar shops as the preferred place for shopping. However, this does not mean that brick and mortar retail shops are on the verge of extinction. According to Google’s Zero Moment of Truth research, 70% of consumers research online before purchasing in-store. This proves that there are customers who still prefer to buy from brick and mortar shops.

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How Data Analytics in Retail Industry Can Help You Predict the Future

[fa icon="calendar'] Oct 13, 2017 9:30:00 AM / by Jag Bethi posted in Analytics, Retail Analytics Dashboard, Data Analytics in retail, predictive analytics retail industry, predictive analytics retail

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In retail industry, fashion styles and trends in apparels and accessories keep changing dynamically, and it is difficult to predict what will sell and what not unless you have an optimized inventory for each change by efficiently utilizing the power of predictive analytics

Unfortunately, it isn’t as it sounds. But with data analytics in retail, they can predict trends based on their customer’s behavior and know what product would do well in a particular season and plan strategies for communicating to their customers.

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10 Quick Benefits Of Adopting On-Demand Analytics Services For Enterprises

[fa icon="calendar'] Oct 4, 2017 1:00:00 AM / by Rama Krishna (RK) posted in data analytics, predictive analytics, on-demand web analytics

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Aren’t we all under the grip of cable-cutters, or the so-called ‘over-the-top’ content providers like Netflix and Hotstar? The latter, popular in India, secured the rights for a cricket league, watched by millions of fans, and used a clever combination of on-demand, big data analytics to attract and convert new audiences.

Cloud computing is being heralded as the new internet order, almost like Web 2.0. From web servers hosted in-house, which led to longer data-retrieval times, shifting that data onto the web has improved data availability faster than ever, and made the technology ubiquitous today. And when RightScale revealed 85% of enterprises across the world currently have multi-cloud strategies, it shows how enterprises are throttling the use of highly beneficial tools like data analytics to streamline their businesses.

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10 Facts About How Data Analytics Is Becoming A "Moneyball" For Restaurants

[fa icon="calendar'] Oct 3, 2017 3:17:20 AM / by Rama Krishna (RK) posted in analytics for restaurants, data analytics for restaurants

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Food is a universal leveler. It is a basic means of sustenance, and those of us who use it to create memories for people find ourselves at an inflection point: incorporate tech that our industry peers are mining gold from, or risk becoming another failed statistic. Use of data analytics, more importantly, restaurant analytics is perhaps just the door you should unlock, to start your journey.

The start begins with leveraging existing information and data, including those shared by your employees. Wrap that along with your legacy PoS or online reservation systems, and feed them into shiny new solutions like analytics for restaurants which you could be demoing.

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10 Signs You Should Invest In Industrial IoT

[fa icon="calendar'] Sep 26, 2017 6:49:51 AM / by Rama Krishna (RK) posted in IoT in manufacturing, IoT in manufacturing plants, Manufacturing IoT

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If the jamboree on predictive analytics or artificial intelligence seem to be the zeitgeist of software development of this decade, it’s a no-brainer that the Internet of Things is heralding the power of hardware. This power of interlinked systems is taking us into an ever-evolving and adaptable future. And a subset of this IoT is already being embedded into factories and supply chains all over the world, referred to as Industrial IoT.

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The Ultimate Cheat Sheet On Restaurant Analytics

[fa icon="calendar'] Sep 21, 2017 5:02:39 AM / by Rama Krishna (RK) posted in Analytics, analytics for restaurants, data analytics, data analytics for restaurants, Restaurant analytics

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Looking into the crystal ball of the future, a restaurateur could be wondering if there would ever be a time when she could track the brainwaves of her potential customers, know his weekend plans, and embed an offer that he could be interested in. Science fiction always exists. But cut to today, and we are on our way there.

Technologies like IBM’s Watson creating new recipes or restaurant analytics driving efficiency are all signals of where the industry is heading.

Today’s hospitality industry can prove to be a boon and a bane. While the opportunities with an open, data-powered economy, using tech like data analytics for restaurants are limitless, you could well be another statistic among what industry monitors prove 40% of restaurants close within a period of three years of starting.

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