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Using customer data? Start with clean data!

Data quality initiatives require strategic planning and concerted effort, and that means treating old data exactly the same as new. Just as new entries are filtered using form fields and validation, old data should be subjected to the same standards and checks.

A customer data warehouse is a key business asset, and it’s an asset your customers expect you to value and protect. Data governance requires the right people, the right funding and sustained effort, but the reward is an error-free dataset that does not expose any party to unnecessary risk. Read more:
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To take power out of Big Data and use it to make better engineered business decisions will be the next big thing in 2015... And there will be plenty of high paying jobs too!
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We are delighted to share that LatentView Analytics has been named on the Deloitte Technology Fast 50 India list for the sixth consecutive year. We are the only company to have done so and we hold the record for the longest consecutive wins. Read more here.
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Creating predictive analytics based on data collected by field-deployed smart devices is already a massive trend across multiple industries. Leading software and service providers have recognized the importance of Big Data and are gearing up for the demand with new products and services. Read more to know how #Bigdata  from the #IoT  can be used to predict machine failure.
Interpreting Big Data in manufacturing is a highly complex process that involves an interconnected fleet of data producing machines, overwhelming amounts of data, transformation of data for digestion, interpretation and automation of strategic decisions to maximize uptime and profitability.
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The music industry has long feted its star executives for their gut instinct and intuition. But for the past few years, the world's biggest record company has started evaluating employees by a less sexy measure: their interest in #Bigdata . Read more:
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According to a new report from Teradata, the “perception gap” for Big Data is quite large and is hurting organization’s ability to take advantage of data analytics. Narrowing this “perception gap” is critical for companies to achieve their data initiatives. Read more to know who's buying into Big Data.
In any fast-moving technological field, there's going to be a fairly wide distribution between those who believe the hype and push its adoption, and those
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There seems to be some shock that bank execs might be dissatisfied with Big Data. Big Data (the ability to analyse and understand massive data sets) has been heralded as revolutionary for financial services and is seen as a major IT trend. The promise is huge. 

Read more to know if the Gartner hype cycle will hold true for Big Data and will it deliver the promise.
Blogs on Finextra: Are we getting Big Data fatigue?
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We are moving from a society of hyper-consumption to social consumption. As the consumer of the future is constantly evolving, new business models and solutions are required to understand the new consumer behavior and cater to the constantly changing consumer requirements.

The internet is leveling the playing field and makes it possible to create and support innovative use cases. The consumer segments, which are increasingly inter-connected through online social networks, are commercializing the exchange movement and collaborative consumption. 

Read more on the Big Data behind the social sharing economy. #Bigdata  
In almost all large-scale communities and online social networks, a major proportion of users rely on other users to contribute content. This “Participation Inequality” - a phenomenon first studied in depth by Will Hill in the early '90s, identifies that 90% of users are “Lurkers” who never contribute original content, 9% of users are “Intermittent Contributors” who contribute a little original content, and 1% of users are “Heavy Contributors” wh...
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A starting point to examine the ways Big Data was a big deal in Chicago urban planning long before the advent of spreadsheets and algorithms. Historical records such as the Chicago Blue Book, a turn-of-the-century social directory of the city's elite, and meticulous, street-level maps created by progressive sociologists, show how data sets like the Sanborn Fire Insurance Maps functioned like the Zillow and Redfin of their day. #Bigdata  
What would Daniel Burnham do with Google Maps? During a Lunch Talks lecture at the Chicago Architecture Foundation last week, architectural historian and architect Jen Masengarb used questions like...
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Data is a new form of capital. Ultimately, information about people, places and things will truly differentiate enterprises. Here are Oracle's top seven Big Data-related predictions for 2015:   
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We’ve all heard plenty of advice about when and how to book travel plans: never book a flight on a Thursday, use Kayak, use Expedia, flying Christmas day is the cheapest option for the holidays, etc. But now one big data startup is backing up advice with real evidence. 

They take traveler data already entered into sites like Expedia and Priceline, and analyze that data on a massive scale. The result? You get the cheapest possible ticket. #Bigdata   #Analytics  
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Have them in circles
90 people
Sankar S's profile photo
Matthew Smith's profile photo
Mahesh Babu's profile photo
akash reddy's profile photo
Ankit Agrawal's profile photo
JEEVAN KRISHNA's profile photo
Hemanth K's profile photo
IBM for Midsize Business's profile photo
Adithyan Karunakaran's profile photo
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We Torture Data Until it Confesses
Introduction
LatentView helps clients develop and deploy result-oriented analytics solutions that enable them to make smarter decisions using their data, on an ongoing basis.