To get the answer to our question, “What makes a good dashboard?,” we must first know the goal of a dashboard. The goal of a dashboard is to provide business users with an easy way to gain valuable insight into their business or operation. Instead of pouring over tons of data, reports or pages, the dashboard provides you with a summary that quickly answers your business questions and tracks key
Predictive analytics for business applies to a variety of company problems faced today, and more people are beginning to recognize its value. Companies are using predictive analytics for business to answer real business questions like “What segment of potential customers will respond best to our message” and “Why am I losing customers, and how can I stop them from leaving?” Even though the use of predictive analytics for business holds
Today is a special episode. We welcome three executive guests from different organizations to share their experiences and insights about how data science can best support executive goals. Ginette Methot: I’m Ginette Curtis Seare: And I’m Curtis Ginette: And you are listening to Data Crunch Curtis: A podcast about how applied data science, machine learning and artificial intelligence are changing the world. Ginette: Data Crunch is produced by the Data
To plan your first data analytics project plan, it is best to have a blueprint or guide. A good blueprint will help you see the big picture. It will keep you on track. Moreover, you will always know what to do next. Data Analytics Project Plan Since a data analytics project plan is by nature complex and time consuming, a blueprint is highly recommended. You need one if you are
Our guest Andrzej Wolosewicz has had years of experience helping companies define and build machine learning and analytical solutions that have a measurable impact on the business, and he shares with us his experience and expertise. He shares with us the biggest pitfalls he sees companies fall into over an over as they try to implement these initiatives. The problem was there was a lot of activity every month that
Today we’re going to see how a clever idea and the skillful use of data is starting to disrupt how people get credentials. The use case here has the potential to remove gender and racial bias in the hiring process, help companies understand specific talent gaps in their workforce, and help learners find lucrative educational pathways they can take.
It’s happened to all of us. Spend months, weeks, or hours on a project that you believe in and that you think is going to make a difference. Tweak it to perfection. Make it shine. Make it the best you can. Then, send it out into the world. And . . . Crickets. We’ve all been there. It’s a gut wrenching realization when you ship something you care about so