Uncategorized

How to Overcome Big Data Cultural Barriers

Big data and its attendant technologies are here to stay.

Data is one of the highest value assets in your business. Particularly now when big data is on the rise and heavily relied on to market your products and services.

An increasing number of companies are investing in data analytics capabilities and other business intelligence (BI) tools to empower all areas of their organization, such as sales, marketing and B2C transactions.

If your business is beginning to utilize the huge amounts of raw data your organization collects on a regular basis, then you will have found out that not everything about having the best information at your fingertips is a long smooth ride. Like all beneficial technology that comes your way to boost your enterprise, there are a few roadblocks you will have to hurdle. Among these are the cultural barriers you will face.

Acceptance is the key

Most cultural barriers that impede the implementation of big data for your organization mostly relate to your existing business and IT culture. Acceptance of data analytics insights can prove to be a huge challenge for your organization if you’re bent on utilizing big data to bring your company up to speed and to drive a more optimal competitive advantage.

Many organizations still struggle with applying these insights. This is particularly difficult if your employees don’t see how big data analytics can change the way they make decisions. This is predominantly true if your people are front-line marketing and sales hardliners who have been making decisions based on gut feel for quite some time. Issue them an analytical driver on which to base customer handling protocols and you may find some resistance on their part.

This cultural mindset is exacerbated by “information hoarding”, where different departments of your business: operations, marketing, sales, finance and other business units maintain their own information sources without sharing them with the rest of your organization. Whether this stems from internal politics or because this is the way it has always been done, this practice only creates bottlenecks in your business processes. It limits your employees’ abilities to view all this data as potentially useful for the entire enterprise.

[expand title=”Click here to read more about this article”]

These cultural barriers may make you feel like changing your whole business operations model to integrate big data analytics to deliver crucial information across your entire organization – and not as a standalone function to be regarded with suspicion by your people, or to be kept close under “lock and key” within different departments.

Think differently

Instead of viewing big data analytics and the BI solutions used to harvest insights from them as impostors, you will need to train your whole organization to think of them as products. And these products should be seen as assets that provide constant high quality access to valuable insights from your huge collection of data.

Big data and its attendant technologies are here to stay. While it may take some convincing and some remarkable results to win your whole organization over and segue them from their use of traditional data sources and project-centric approaches, you’ll eventually come to a point where your people will be utilizing insights from readily accessed data, understand these insights and rely on data analytics drivers to power their decisions for the good of the entire organization.

Photo courtesy of visualpun.ch.

Cloud Blog

4 Ways To Benefit from…

One of the benefits you get when you work with cloud applications is that you often have quarterly updates that are packed with features. This...

Keep Reading

Artificial Intelligence

Data and Analytics: Cross the…

  Artificial intelligence is a manna sent from digital heaven. That’s how blessed your business can get if you immerse into the AI of things....

Keep Reading

Business Intelligence Blog

How Brand Names Survive in…

  The age of digital marketplace has made it possible for unknown and smaller companies to compete with better-known and well-established brands. Take for example...

Keep Reading

Artificial Intelligence

The Phenomenon That Is Artificial…

  Artificial intelligence is when a machine does cognitive functions that are more associated with humans, such as thinking, learning, problem solving, and reasoning. As...

Keep Reading

Cloud

Digital Transformation in Banking: Shift…

  The start of a new decade is already shaping up to be exciting for financial services, especially for banks as they continue to compete...

Keep Reading

Business Intelligence Blog

Data Science and Its Economic…

It would seem that artificial intelligence is the focus of businesses that are looking to future proof their organizations and stay competitive. And why not?...

Keep Reading

Data Blog

Ensure Efficient Data Science and…

In an ever-expanding landscape called Internet of Things and the exploding development of artificial intelligence, we are bombarded with complex methods of integrating data science...

Keep Reading

Business Intelligence Blog

Cybersecurity: The Top 5 Expectations…

  If you think about it, cybersecurity is closely tied to human rights, privacy, freedom, and even basic safety. As a whole, we have become...

Keep Reading

Business Intelligence Blog

Tech Security Should Be Easy…

  IT professionals know that tech security is important in everything that they do. And that there are a lot of products, tools, innovations, and...

Keep Reading

Business Intelligence Blog

The Top 6 Success Stories…

Nearly nine out of 10 digital transformation initiatives fail. Digital transformation projects fail for a variety of reasons. It can be because of a lack...

Keep Reading

Live Chat | Emergency