Data storytelling is fun, compelling and involves pretty pictures (or data visualizations as my fellow analysts call them). It attracts attention and helps decision makers focus in and act on important insights. In my next blog post, I’m going to give you tips for telling juicy data stories. But here in Part I, like any good storyteller, we need to make sure the scene is set with care. Before data can tell a story, it needs to be conscientiously prepped and responsibly analyzed.
Well, hello there! How productive were you today? Did you create an AI app before breakfast? Take all the data you have access to and apply machine learning to make some huge business decisions?
Welcome to the new way to run a business, according to Microsoft. This week, Microsoft hosted its annual Ignite Conference in Orlando, Florida. The conference was full of compelling keynotes, learning paths, and intriguing updates on where the company is headed.
What do we think? The MINDs at Mind Over Machines kept close track of Microsoft Ignite 2019. Here’s our take:
Business intelligence (BI) is a little like starting a business or becoming a parent. You know there are big potential benefits (e.g., improved data visualization, operational efficiency and decision-making), but it’s an intimidating prospect. If you wait until you’re completely 100% ready, you’ll never take the leap.
Gartner says a whopping 87% of organizations are missing out on emerging analytics technology because they have “low BI maturity.” How do you get mature? Well, you have to start somewhere, right? It may be time to take Nike’s advice and “Just Do It.”
Last week I had the chance to go to Cleveland, the Rock and Roll Capital of the World and this year’s home of MTForecast from the Association for Manufacturing Technology (AMT). The theme of the conference was “Visualizing the future” and there was a lot of chatter around industry trends and data within the manufacturing economy.
My head was certainly all about data and its connections to manufacturing.
Here are my three takeaways:
8 minute read
My journey into business intelligence (BI) began with an IBM commercial about a bakery. Using analytics, the bakery uncovered a customer coping method of sorts: People buy more cakes when it rains. This unexpected insight allowed the shop to better plan its inventory based on the weather forecast. I was fascinated by how a company could use data to find patterns and then use those patterns to improve their business processes. From that moment, I was hooked.
3 minute read
Just as Business Intelligence (BI) tools become the hot topic, there are more solutions available than ever…except that there aren’t, because only two of them are actually worth your consideration.
1 minute read
On Wednesday April 20th, the Inner Harbor was buzzing with Office 365 talk, as Mind Over Machines combined forces with System Source to present Office 365: Way More Than Email!
3 minute read
“Our best prospects are right under our noses, but they’re scattered across the country, and we don’t know who they are until we trip over them! We need an engine that will identify our cherry prospects and serve them up in bulk.”
3 minute read
Managing data and analysis in the increasingly complex financial services landscape is more critical than ever. New legislation, increased compliance requirements and continued risk due to uncertain economic times have necessitated significant additional IT investment. Leaders in the financial services industry are under intense pressure to not only meet compliance and mitigate risk, but also to fully leverage IT investments and drive growth and profitability.