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So far Kevin McDonnell has created 4 blog entries.

Autonomous Analytics Changes Everything

The amount of information that's being created is elevating exponentially. It's almost impossible to wrap your head around it. Rapid advancement in data storage and data processing technology is enabling massive collection and archiving of information.

The "Big Data" phenomenon is creating the opportunity to acquire nearly unlimited insights. Analytics or "data science" can be used to predict what will happen and explain why it will. But many challenges to reaping benefits from analytics yet remain. One main issue: Data is siloed, disjointed, or disparate. Databases are not aggregated. Lots of bureaucracy and a lack of foresight can prevent different parts or divisions of organizations from sharing information. Not only has the volume of data skyrocketed, but the places where it's stored and the methods of collecting it have also expanded profoundly. So the question of the day is this: Are business leaders getting value out of all this data?

Both Mercedes and Google have developed autonomous driving, but has someone really made analytics autonomous?

Autonomous Analytics: Q&A with Matthias Kehder, CEO and Co-Founder of Modern Analytics

Autonomous analytics is not the process of automating data. It is the ability to connect to databases and figure out variables that need to be inserted and aggregated (using machine learning) to produce the best predictive solution autonomously, without human intervention. What we do is build a semi-exhaustive list of models and help our customers identify which of them to use now. The rest are stored for another day when they’ll be refreshed automatically as data is added.

Predictive Analytics Brings Much-Needed Precision

Sales, the healthcare industry, product development, and hundreds of other business settings need predictive analytics to add precision. Why carpet bomb when you can use a smart bomb? To illustrate my point I'm going to stick within the sales and marketing world. When salespeople are hired they are commonly brought in for their rolodex. For some odd reason executives think that having a long contact list is going to be the secret sauce it takes to close deals fast. I hate to break it to you, that's not the case. Here's why...

Sales is the poster child for the phrase, "What have you done for me lately?" The only thing that matters to sales people and and sales managers is, "What did you sell this year?" This means that sales people don't have time to wait for when a prospect is ready to buy. Buyers buy when they're ready to buy. So this means most sales pro's need to find who will buy now and frequently this means people they know are not in the market (at least not this year) for what they're selling.

Win the Sales and Marketing Battle Before It’s Even Fought: Acquire Autonomous Data Modeling Technology

Sales and marketing is, in fact, a battle and a war. There are missions, strategies, tactics, battles, dealing with unforeseen circumstances, casualties, defeats, logistical challenges, adversaries, and the need to acquire and use various forms of intelligence (e.g. reconnaissance). Same case with the typical sales scenario, especially in the case of a complex sales processes.

Modern Analytics has developed, over twenty-five years, proprietary methods and machine learning technology to automate the process of generating data models. The status quo of data modeling at the time that this article was written is such: Data modeling is time consuming, expensive, capital intensive, data intensive, and difficult to achieve great model integrity. So much so that companies use this capability sparingly, solely for the most important business needs and not much more. Sometimes one or two models and in some cases, none at all.