A recent survey by Business Application Research Center revealed that 53 percent of those polled their companies didn’t really understand and know how to use analytics. Around 56 percent of the respondents said that their companies didn’t look for business cases to use big data. However, we have seen the huge impact big data has on business. So, what should you do when your company doesn’t seem interested in adopting big data?
Around 56 percent of the respondents said that their companies didn’t look for business cases to use big data. However, we have seen the huge impact big data has on business. So, what should you do when your company doesn’t seem interested in adopting big data?
Why does your company dislike big data?
First of all, let’s see why companies don’t like big data.
Big data alongside with AI and automation is driving digital transformation. Businesses can hide from it in a day or two but they can’t run away from it forever. These technologies are changing the way we do business and the way we live. Many companies see big data as a complicated technology that is difficult to adopt. That’s true!
Humans are generating big data at unprecedented speed and volume. Companies have a hard time collecting big data, sorting it out, cleaning, categorizing, and aggregating it with other types of data before using it to make business decisions. That is a complex and challenging process but the result, when done right, can be highly profitable.
Many business executives even find big data analytics reports hard to read and understand or don’t deliver any actionable result. Business decision makers prefer reports that they can read and make sense quickly, ones that show them what to do. That is another major barrier to big data adoption.
Nevertheless, big data is vital to the digital transformation of businesses and no company can avoid that forever. So what can you do to make your company more open to big data?
What can you do?
First of all, let’s make it easier to ingest and integrate data with some automation tools. It significantly reduces the time and effort spent to prepare data.
Then, it is important to match big data deployment with real business needs. What is one business problem that big data and analytics can help your company solve? If you can specify a business case that big data can address, it is easier to persuade your business to employ new solutions. After all, it is the business value that drives business decisions.
Next, let’s make your data presentation visual, turning it into charts, maps, or other presentation forms that are easy for people to grasp the findings. Do not turn your analytic reports into a riddle that people struggle to solve.
Last but not least, make it clear how to measure the value that big data and analytics create and show them what they contribute to the overall growth of the company. Also, do not forget to present the solutions to solve big data issues emerging from the adoption and use of big data and analytics.
Once the challenges are solved and the benefits are proved, nobody will say no to big data and analytics.