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What if you are looking at the wrong kind of data for business success?

What if you are looking at the wrong kind of data for business success?

October 2, 2015
Unless you were hiding under a rock, you are probably aware that people analytics has emerged as a big piece of the business data landscape – not just in HR departments, but across organizations! While businesses have long realized that their people are their greatest asset, it is only now that we are really starting to capitalize our workforce through people analytics. Not only do employees hold increasingly valuable intellectual property, but each employee knows something about the business better than anyone else. Identifying these internal experts in businesses and mining for crucial information or big ideas give executives a better understanding of their organizations. Simply put, the intelligence the workforce holds sets businesses up for success by keeping employees engaged and allowing businesses to make more informed decisions. In fact, a 2013 study by Deloitte noted that businesses that placed an emphasis on people analytics had stock market [...]
How to Drive CRM Adoption:Involve Your People

How to Drive CRM Adoption:Involve Your People

November 5, 2014
When you see other companies outperform with the same CRM that you just bought it’s unnerving to say the least. From implementation to employee engagement and technology integrations, there are a number of bottlenecks that can affect the system’s performance and CRM adoption. To better understand this CRM performance challenge, we gathered and analyzed nearly 300,000 data points through interviews with CRM users, implementers, and data strategists across multiple Fortune 500’s and SMBs. The focus of our research was to find pain points and bottlenecks that could be addressed to increase CRM performance output. CRM is inconsistently understood, valued, and viewed. More often than not, CRM adoption suffers due to people-related issues. To avoid failure due to low adoption, organizations must engage with the potential CRM users and stakeholders to ensure:1) Value Drives Adoption; Communicate CRM’s Value to the User First of all, know the problems that sales [...]

Data Innovations:Human Data over Predictive Analytics

July 23, 2014
If you’ve never watched the dystopian 90s film Gattaca, go put it on your watch list. If you have, forgive my quick (inadequate) summary. The plot surrounds Vincent Freeman, a young man whose life is predetermined at birth due to an analysis of his genetic makeup to be “inadequate.” As the plot unravels, we see Vincent take ownership of his future as defies the societal determinism placed upon him. While the film is very philosophical in nature, it gives us picture of a world relying completely on prediction, instead of simply asking the people what they are capable of doing and then letting them determine the outcomes. Image courtesy of Leon Fishman via Flickr The Predictive vs. Human Data Problem Businesses are starting to evaluate the use of data innovations for insight discovery, but what isn’t being discussed enough is what form of data to use:predictive or human [...]
4 Essential Steps for Building Scalable Data-Driven Products

4 Essential Steps for Building Scalable Data-Driven Products

May 1, 2014
An eager data scientist exclaims to the product manager, “Imagine the possibilities!” The product manager looks at him and asks, “What does it do?” The data scientist says, “We don’t know yet, but just imagine the possibilities!” [image type=”thumbnail” src=”http://www.9lenses.com/wp-content/uploads/2014/11/Product-Manager-Vs-Data-Scientist-1-1.png” alt=”Product-Manager-Vs-Data-Scientist”] Some may laugh at this conversation, others may cringe at the recent memories it invokes, and still others may utter involuntary frightful screams. Perhaps the relationship between product managers and data scientists is a necessary evil, a perpetually at odds system of checks and balances that attempts to ensure superior products for your customers and overall success of the business. So what does one do with such a recipe for frustration to scale it? Is it even possible? It is! In this post I will share the 4 essential steps to building scalable data-driven products:Teach how to learn the outcome. Effectively communicate big data. Give them a [...]
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