5 Remarkably Easy Steps to Implement Big Data in Your Business

5 Remarkably Easy Steps to Implement Big Data in Your Business

For many organizations it is still difficult to understand what Big Data is and how it should be incorporated in their business. This is quite understandable, as Big Data offers such radical and disruptive new possibilities as well as requires a dramatic cultural change for many organizations. The past weeks I have been thinking a lot about this and how this process could be simplified. Because when more organizations understand how to embed Big Data in their business, the more it will drive innovation and economic growth.

We know by now that Big Data can have a big impact on any part of your organization. The Big Data Use Case Framework that I developed some time ago gives a great overview of these different. But when I talk to organizations, I still get a lot of questions how they should start with Big Data and what they should do to become really data-driven.

Well, as it turns out, there is a rather simple five-step approach that could help any organization to datafy their business and processes. These steps are:

The Importance Of Design Thinking For Big Data Startups

The Importance Of Design Thinking For Big Data Startups

We’ve reached a point technologically where consumers are no longer impressed by access to data, as data availability, even our own, is increasingly the norm. Instead, the usability of that data is what’s driving demand for new products and services. Even the term “Big Data” is slowly being replaced by “Business Intelligence” as data is increasingly becoming commoditized.

This is where Design Thinking becomes so powerful. What insights can we extract and how do we present those insights to the user? The difficulty with that question is that it requires restraint and focus.

3 Simple Ways to Get Ahead in the World of Big Data

3 Simple Ways to Get Ahead in the World of Big Data

The drive to gather more data isn't going to subside, but numbers shouldn't be a replacement for vision. Sudhir Venkatesh discusses how companies can use data to foster, rather than quash, creativity.

If you are wondering how the Big Data revolution is changing business, listen to the findings of a recent Forrester Research report:

"Businesses are drowning in data, but starving for insights. Worse, they have no systematic way to consistently turn data into action."

Here Are the Best Times to Post on Social Media for Top Results

Here Are the Best Times to Post on Social Media for Top Results

If you, like me, depend on Facebook to socialize the content you create, you want to be as Facebook savvy as possible. What do people engage with? When should you post?

I’ve found that posting images and videos gets more engagement than straight text. I’ve also found that text that speaks to a controversy or includes news-you-can-use is more successful.

6 Great Tools For Content Curation That Make You Look Awesome Online

6 Great Tools For Content Curation That Make You Look Awesome Online

Do you have a content curation strategy in place? Are you looking for better ways to find and share other peoples content?

Content curation is an easy way to provide your audience with relevant and helpful content and can really make you stand out from your competitors. Sitting on Google and entering search term after search term looking for content can be long winded and there are more effective ways to spend your time.

What is a growth hacker? All the resources you ever need

What is a growth hacker? All the resources you ever need

"Growth hacker" is a new word for most but a long held practice among the best internet marketers and product managers in Silicon Valley. With mass media fading away and the onslaught of mass customization & niching on the web, marketing as we known it for the past 100 years has died. People are awash with mounds of data and marketing fatigue is at an all-time high. Users are drowning and won’t pay attention to the next best widget, regardless of how good it is. Distribution is now the number one problem that faces every product and every startup.