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The buyer's journey consists of awareness, consideration, and decision. That final conversion to the decision-making stage is a fan favorite.

What is data transformation? Data transformation is the process of converting data from one form to another. The conversion could be changing the structure, format, or values of data. Data transformation is typically performed with the help of data preparation software.

There's much debate in the sales industry over which sales key performance indicators (KPIs) and metrics matter most. One size definitely does not fit all.

Not all leads are created equal.

Knowing the difference between two things that are very similar can feel trivial.

Sales and marketing. The ultimate interest-creating, revenue-generating, relationship-building power couple. The Beyonce and Jay-Z of business. The two business functions have plenty of similarities and differences, and one simply can’t exist without the other. 

When new leads enter your pipeline, the worst thing you can give sales reps is freedom without direction.

What do you have sitting in your sales arsenal?

Every transaction that we make creates data. From swiping your card while going grocery shopping, to closing a billion-dollar merger, each transaction creates several data points across the digital ecosystem. Although this is unstructured data, it's how we use these billions of data points to create and derive information that forms the underlying structure of data management and data science. Data value needs to be delivered to businesses as soon as possible, and converting this value into actionable insights is critical.

Sales wants more leads, and it’s your job to deliver them. Now what?