BLOG

Pitfalls in Big Data Analytics and Ways to Avoid Them

Sep 21, 2017

The introduction of data science for decision-making has greatly altered the way businesses make their decisions. Experts believe that big data analytics tools are far more superior than humans in processing mountains of data to generate insight and choose a decision alternative. However, a fundamental reality that humans themselves create such programs and tools is almost always ignored. So, the ability of big data analytics tools to generate relevant insight is highly dependent on human inputs and interpretations. Here are five big data analytics pitfalls to avoid in order to generate a meaningful insight:

Causation Vs. Correlation

One of the greatest pitfalls in performing an analysis with big data analytics tools is that of decision maker attributing correlation with causation. Just because two data sets correlate with each other doesn’t mean one is causing the other. Usually, it happens because of some other hidden force. One of the most absurd examples of this statement is the correlation between increasing ice-cream sales and the subsequent increase in the rate of drowning. It is merely caused by an increase in temperature and heat, which urges more people to opt for swimming activities.

Confirmation Bias

It is human nature to conform to things that are familiar and ignore others. Data scientists usually allocate more weight to evidence that confirms their hypothesis by ignoring those that could disconfirm their hypothesis. One of the best practice to avoid this pitfall is to get a “devil’s advocate” view to the problem by analyzing the opposing perspectives as well.


For more queries on pitfalls of big data analytics and ways to avoid them, request more information.


Statistical Significance

A majority of research processes determine the sample size, which closely reproduces the overall population. Too little of such samples or samples that do not characterize the overall population will not yield an accurate result. For instance, trying to carry out an A/B test on a website with only a few numbers of visitors or results that show little difference may not be statistically significant. Managers can use a statistical significance calculator tool from Kiss metrics for A/B testing of landing pages. A relevant t-test and z-test could also be carried out to check the statistical significance of the results.

Enter Quantzig:

Today, managers have access to a large stream of data, and decision-making on the basis of gut-feeling, the rule of thumb, and guesswork are largely eliminated with the advent of data analytics.

“Without big data analytics, companies are blind and deaf, wandering out onto the web like a deer on a freeway,” said a leading data analytics expert from Quantzig.

For more than 14 years, we have assisted our clients across the globe with end-to-end data management and analytics services to leverage their data for prudent decision-making. Our firm has worked with 120+ clients, including 55+ Fortune 500 companies. At Quantzig, we firmly believe that the capabilities to harness maximum insights from the influx of continuous information around us is what will drive any organization’s competitive readiness and success. Our objective is to bring together the best combination of analysts and consultants to complement our clients with a shared need to discover and build those capabilities and drive continuous business excellence.

Related Articles:

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Workforce Management Trends of 2021

Workforce Management Trends of 2021

Driven by the disruption of COVID-19 and enabled by technology, the world’s business leaders can redesign workforce management and redefine ways of working. Organizations are now rethinking workforce management, planning, performance, and experience strategies. Now,...

read more
Tech Trends 2021

Tech Trends 2021

After disruptions caused by the coronavirus crisis starting in 2020, businesses are looking forward to getting back on course and becoming sustainable. 2020 has created havoc and made holes in long-standing norms about how companies operate. It has become evident that...

read more
Sustainable Supply Chain and Big Data Analytics

Sustainable Supply Chain and Big Data Analytics

Sustainability concerns are sprouting up in every industry. A growing population of consumers now prefer eco-friendly and sustainable businesses. Organizations are striving to address this concern, while improving internal systems and processes, by developing supply...

read more

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.