Click to learn more about author Julius Cerniauskas.
The digital universe is expanding fast. According to a SINTEF study conducted back in 2013, 90 percent of all the world’s data was generated from 2011 to 2012. By 2020, the number of data bits created globally was expected to reach 44 zettabytes, as predicted by the World Economic Forum. To put it into perspective, that is 40 times more bits of data than the number of stars in the observable universe. Welcome to the age of information!
The business scene has been embracing these changes with increasing enthusiasm. The popular phrase “Data is the new oil” has been evoked by massively increasing revenues from big data and business analytics sectors. In 2018 alone, the industry brought in around $169 billion, with predictions to reach $189 billion in 2019, as International Data Corporation reports. The forecast for the future is also hinting at the growth of big data usage, with expected revenue of $274 billion in 2022, which is a staggering 62 percent increase from 2018 revenue.
Dealing with Information Overload
person who has been leading a company of information technology solutions for
nearly six years, I have witnessed that not all businesses embrace the power of
Data Science. Dealing with unprecedented amounts of information can lead to
paralysis through analysis, which results in struggles to integrate
cost-efficient automation processes in everyday business practices.
indeed, being able to navigate entire oceans of data and distinguish what is
relevant for a particular business goal is not an easy task, even for the most experienced
technology gurus. For this reason, this article is dedicated to everyone
determined to base their strategic business decisions on reliable data and are
seeking more guidance on the matter.
We All Must Become Data Realists
million searches on Google, 4.5 million views on Youtube, 87,500 tweets, 1
million dollars spent on e-commerce sites — that’s just one minute on the
internet in 2019.
are two rules on how not to get swept away by the information flood. First,
companies must shift their attitude from knowing to learning. And second,
before diving headfirst into big data, it is essential to determine what type
of information is valuable for each individual goal. To understand how to
extract and draw meaningful conclusions from the data pool, we must look at
this through the eyes of a data scientist who seeks to discover potential
solutions and business opportunities by identifying patterns, trends, and
correlations between the data points.
The Path to the “Right” Data
data gathering, analysis, or comparisons can even start, there is an absolute
need to make sure that the methods and tools of information extraction are
impeccable. The biggest hurdle here is gathering complete and accurate data.
More information on data extraction techniques will be explored below.
the trusted extraction techniques are set in place, the process of collecting,
cleaning, and interpreting the data can begin. Ideally, the data scientist
locates the common patterns, which can lead to valuable conclusions. Then,
communications specialists translate the dataset to visualizations or texts,
understandable even for non-tech company stakeholders. If it is done well, the
extracted information provides a full picture of common trends and real-time
changes in the industry, allowing you to devise a strong business
What Data Can You Benefit from Right Now?
able to tap into vast amounts of publicly available data has led to many brands
automating their market research processes and gaining visibility, making use
of some of the many advantages this data can bring. Depending on your company’s
strategic direction and business goals, you can boost your business
decision-making process by gaining insights on the following:
1. SEO Rankings
2. Client Needs and Feedback
3. Pricing Change Monitoring of Certain
Products and Services
4. Competitor Behaviors
What Can We Learn from the Big Brands?
understand how to use big data effectively, let’s look at how the leading
brands are using it to strengthen their position in the market.
Case 1: Automating Data Gathering Processes
is hard to believe that some companies still hold on to outdated data gathering
methods, going through all the trouble of collecting and aggregating the needed
information by hand. This situation is similar to someone choosing to get
drinking water from a faraway well, dragging heavy buckets on the way instead
of simply using a tap. Automizing data gathering processes can save long hours
of manual labor spent on researching information, reduce labor costs, and at
the same time, increase the quality of the process itself.
Case 2: Getting Customers to Choose You and Stay
data insights is key to building a happy client base. And the web is a place to
see what people actually think and want. Getting your hands on the behavioral
statistics online and having a full grasp of the feedback that is being left
across all public forums is powerful. It is no secret that a well-understood
client is a loyal client, and acting upon these behavioral dynamics will lead
to well-received communications approaches and the release of desired products
Case 3: Marketing That Works
grim fact for marketers worldwide is that brands are losing millions of dollars
on ineffective advertising campaigns every year. More often than not, it is a
result of incomplete market research, which involves gaining essential
information such as online activity trends and dynamic changes in customer
behavior. A thorough analysis allows marketers to launch more personalized
campaigns to target and engage customers in a manner that is appreciated. In
turn, this results in better returns on marketing investments.
Case 4: Inspiration for Innovation
Gone are the days when businesses based their product strategy on personal experience or intuition. Companies don’t have to guess what works and what doesn’t anymore. Data will let you know exactly what the market is thirsty for. For this reason, data scientists have become a trusted source of inspiration for product development and innovation. When information sets on a client’s ever-changing needs and desires are used as a base for product design, sales are impacted positively.
Get the “Right” Data
mentioned above, the key to gaining meaningful data insights is relying on
accurate and complete information. There are a few methodologies available for
retrieving publicly available data from the internet. The most common process
leading companies employ is web crawling, also known as web scraping.
of partaking in the mundane tasks of manual data extraction, web scraping
employs intricate automation processes to extract millions of data points from
all the advantages that web-scraping offers, it comes as no surprise that this
practice is growing in popularity, and marketing is not the only department
reaping the benefits. For instance, cybersecurity, retail, and travel
industries, among others, have been capitalizing on the advantages that data
Future of Information Technology
is exciting to witness everyday companies and individuals finding more ways to
facilitate their lives and improve their business by employing modern
technologies. And the reason why the information technology industry is on the
rise is due to its unfailing adaptability to the quickly changing needs of our
pattern is evident with web scraping as well. It is continually evolving, as
industry leaders come up with more and more ways to utilize big data to reach
their business goals. There are still unexplored ways web crawling can aid
companies across the globe to automate their processes and gain valuable
insights. It just depends on the curiosity and ambition of businesses.
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