Brainstorming and Innovation – Not Really Working Anymore

Well, I have a pretty large personal library with more than 3 dozen books on innovation. It’s amazing how they all read about the same and all have nearly the same advice, especially when it comes to the ‘art of brainstorming’. Still, due to all the new social norms being taught in college these days, where every question asked of a professor, no matter how stupid, is met with; “Great question,” and then followed by the nauseating improper English; “okay so… ” followed by a regurgitated answer – it’s causing the same nonsense in brainstorming sessions.

The only chance today of a brainstorming session coming up with a brilliant original solution would be to have someone in the group who is already a creative genius who can speak up, defend their concept against politically correct and status quo bias and personally persuade the group to yield to their idea. Still, this type of person is a true ‘Thought Leader’ and a legitimate thought leader hardly needs a brainstorming group or any group for that matter in the first place.

Brainstorming isn’t working anymore for innovation, and you can get better creativity from a YouTube Cat Video these days. Corporate R&D Departments aren’t producing much either considering the huge sums of money they spend on the innovative process. Those who predict the future so they can see into the looking glass aren’t much better using their methodologies.

Innovation for the Future and Future Prediction

Let’s take the Futurists of the World Future Society (WFS) as an interesting case study. The WFS has seminars to teach you how to think like a Futurist, symposiums with special emphasis on trend projections and innovation. Isn’t it interesting how all the members of the WFS are always on the same page, and how their predictions are nearly always incorrect (90% of the time)? Why is this? Maybe it’s because when you teach people to think a certain way, they lose the creative edge or ability to do high-level original thought, as you are confine their thought process to logical thinkin?g (left brain thinking) when the students who wish to focus on innovation need to be both left and right brain thinkers.

How are we going to get back to an America that is robust in original thinking and overflowing with new ideas – a nation that is so innovative that we can’t even hold back the rapid changes of our society and civilization? How can we lead the world into the future if we can’t even innovate our way out of plastic bags? Please consider all this and think on it.

You Can No Longer Ignore Data Analytics

What do you mean by Data Analytics?

Data Analytics refers to the process of collecting, organizing, interpreting and extracting the useful insights from the raw facts and figures in the huge amounts of data generated by a business on a daily basis. The main responsibility of the data analyst is to translate the burgeoning data into useful perceptions and then into valuable information, assisting the organizations to make smart decisions based on data instead of relying on instincts.

How important is Data Analytics?

In today’s world, accumulation and storage of the massive amount of data streaming into an organization’s databases has become a concern. Volumes have increased to millions and millions of gigabytes. Companies have moved far from just directories, datasheets, and documents.

But at the end of the day, it is almost impossible to analyze and interpret all this data. This data includes not only text but videos, photos, sound recordings and sensor data.

The data streaming into an organization’s data warehouses is increasing at an exponential pace and is expected to grow by up to 50 zettabytes by 2020. A zettabyte is over 931 million gigabytes! Each and every action we do online leaves a digital trace. Every single action we make when we go online such as online shopping, chatting with the friends through social media applications or using GPS equipped smartphones generates data which businesses mine for information. We basically leave digital footprints with every action we take digitally involving the use of the internet.

The amount of data generated is growing rapidly and this requires the use of advanced technology and tools specifically designed for the analysis and interpretation of this enormous amount of data. This is where data analytics come to the rescue. The thorough and in-depth analysis of this “Big Data” requires the use of data analytics software such as Python, SAS, R and Hadoop which were developed specifically for handling Big Data.

Data analysis using these tools with mathematical and statistical algorithms will further assist an organization with developing good decision-making processes and allow it to respond to customer queries rapidly, resulting in an increase in goodwill for the organization. The high accuracy in Big Data analysis also ultimately helps the organizations to increase profits and lower costs.

Developing new products based on ongoing market trends can be done only when Big Data is accurately and precisely analyzed. Customer satisfaction matters a great deal if a business wants to be successful and popular with its target audience. The market trends and customer preferences must be analyzed properly and specifically so as to develop products which are trendy and acceptable to the target audience. The data findings may even assist companies in taking advantage of new market revenue opportunities and ultimately improve customer satisfaction, thereby enhancing the operating efficiency and profitability of the company.