How to Leverage Big Data for Business Intelligence


Click to learn more about author Errin O’Connor.

If you have heard about
Moore’s law, then you know that in the span of two years, the computer’s
capacity increases in terms of memory storage and speed by a factor of two,
leading to exponential growth in data generated by those devices.

Better devices will produce more data than their predecessors. I am sure that you must have heard the phrase, “Data is the new oil” hundreds of times, and, according to emc’s predictions, we should have 44 trillion gigabytes of data in 2020.

So how do we handle this colossal amount of big data for business growth?

The growth of
data-driven large corporations using business intelligence and wide-scale
adoption of big data across industries is the future of business.

Business intelligence is
fueling a revolution in business with streamlined operations and processes.
There are many ways in which you can use big data in your business and
exponentially grow revenues, and I will be discussing all the major ones in
this article.

Working Together
with Big Data and Business Intelligence

Businesses that have BI solutions implemented have a better understanding of metrics that work. The most important feature that BI brings into the picture is a well-structured presentation of data that end-users can understand. The charts, bar graphs, and other visualization options make comprehending big data easy. Let’s see in detail how BI empowers the use of big data.

Collection and Access to Information

Analysis and visualization
represent the backbone of big data. Data is of no use if you do not process it
efficiently and adopt the findings in your business. There are several different
BI tools, which can be used to process every piece of data in your company and
also for your customers.

The first significant
benefit is easy access to all kinds of information in your business. Just to
give some examples of access, companies with brick and mortar stores can easily
manage data, including:

  • Sales
  • Inventory
  • Purchases
  • Salaries
  • Customer reviews and product feedback
  • Sales of particular products
  • Other data all in one place

Unlike when using other
conventional methods, checking for information like the growth in revenue over
the past three years is just a click away. Predicting workloads and sales in
particular months is also easy as you only have to select a template in most BI
tools, and you will get a detailed analysis of years of data in one go.

Another example is social media, which is the point of focus for companies all over the globe. You can run checks on the sentiments towards particular products, services, or companies by analyzing specific data sets. Managing and understanding results from various social media platforms is a daunting task but has been made easier using BI tools.

Simplifying the Decision-Making Process

Gone are the days when
companies guessed and used prediction models to predict the outcome of their
decisions and specific changes in product launches. You can now predict the
outcome of most of your choices with high accuracy using past data.

Companies can predict
the future demand and inventory requirements of their products by analyzing the
past year’s sales data. The best part of the software is that everything is
customizable, and you can change specific components to suit your needs.
Changing the months, products, stores, inventory type, etc. is very easy.

Using Machine Learning Capabilities to Predict
Buying Behaviors

This is, by far, one of the strongest and the most efficient uses of big data. Big data has changed the marketing industry for good. You can now run thousands of experiments and optimize your campaigns in endless ways. Machine learning capabilities, integrated with big data, can help you analyze trends and buying behaviors.

The time you choose to contact
prospects and the platform of communications or advertising can be a
game-changer for you. You can use your company and campaign data to analyze
certain factors, including:

  • The best times to contact your prospects
  • The best times to run a particular campaign
  • Determining the sentiments of the market
  • Analyzing the impact of A/B testing of sales
  • Choosing between creatives and email newsletters
    for optimum performance
  • Thousands of other possibilities

Improving Customer Service

The usage of chatbots is
on the rise, and the data you get from these conversations can help you further
improve future communications. Machine learning capabilities are enabling
companies to analyze common problems being faced by customers.

These can be solved, and
you can leverage chat automation powered by insights from data to improve
customer service.

Analyzing the Trends and Sentiments on Social

As mentioned above, most
companies are putting in efforts to leverage their representation and growth on
social media. Social media is also one of the most significant sources of data,
and it is hard to cover all the possibilities for this type of data in this
post (because there are so many).

The most significant application of this data is analyzing public opinions of your company or products. Tools like Microsoft Automate and Power BI services, when combined, can help you track feedback for your company. These tools come with built-in algorithms that consider words like “good,” “awesome,” “happy,” etc. as positive sentiments and words like “horrible,” “worst,” etc. as bad sentiments.

You can also track and
analyze each mention of your company or products on various social media
channels and platforms.

Another application of
social media data analysis is deciding times for the best performance of your
company’s creatives and product launches. You can use the data to predict the
best times and audience types for your campaigns. This lets you grow your
prospects list and understand the market.

Competitor analysis is
one of the most critical factors in your company’s growth, and you can easily
access and analyze competitor data to improve processes in your company.

Improving the Operations in Your Company

The world of business was completely different when BI solutions were not prevalent, and data analysis was not common. You no longer have to make Excel sheets and then compare spreadsheets to analyze the fastest way to accomplish a task.

Big data can help you
exponentially increase the efficiency of your processes. Some of the divisions
which have a lot of potential for improvement using data insights are:

  • Supply chain management
  • Customer service and response
  • Allocating employees according to time and
  • Price fluctuations
  • Manufacturing processes and operations
  • Cost of labor
  • Many other divisions

Using BI tools, you can
analyze every step in each department and work on improving them to increase

I can speak about the
ways to leverage big data for business intelligence for ages. There are
literally thousands of opportunities and possibilities companies can utilize to
outgrow their competition.

All you have to do is
create a culture of data analysis and find the right sources to collect data
within your business processes. The world of data analysis is evolving, and we
will see business disruptions in almost every sector powered with data.

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