Why big data is the key to customer success

Why big data is the key to customer success

Big data is changing the way we do business. Its adoption is rising rapidly as organisations seek to unlock the value of data analytics. Yet large amounts of data have been available for decades. So what sets ‘big data’ apart? Primarily, it is the velocity, variety and volume of data now available to us. Due to increases in processing power, we can now go beyond the data to extract insights that would have been hidden to us in the past. Big data isn’t new, it’s just more powerful than ever before.

Today, we create 2.5 quintillion bytes of data every day. That means it would take only three days to generate as many bytes of data as the number of grains of sand in the world. And estimates suggest that this figure will grow exponentially. By 2020, there could be 44 times as much data as in 2009. Although the sweet spot of big data varies for each organisation, every sector stands to benefit. From increased customer satisfaction to faster business processes, the rewards from are by no means small, and future investment is expected to be significant. Analyst firm Gartner has revealed that more than three-quarters of companies are investing or planning to invest in big data in the next two years, a three percent increase on 2014.

Although the amount of data flowing through each business differs, the message behind these numbers is that the scale of data is growing. The increasing sophistication of analytics platforms combined with the growth of data from social media, mobile apps, and the internet of things offers organisations a glimpse into the future unlike ever before.

From such insights, organisations are able to become more responsive. The ability to operate at greater speeds was one of the biggest drivers of big data investment in 2016, according to NewVantage Partners. When it comes to enterprise technology, in particular, one of the biggest benefits that big data brings to the table is that it offers businesses the opportunity to process large amounts of data and then extract insights that go beyond this data. One central way of improving speed in a business, for instance, is to prevent breakdowns and avoid time-outs.

 

Share it:
Share it:

[Social9_Share class=”s9-widget-wrapper”]

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

You Might Be Interested In

Categorisation of Machine Learning algorithms for business applications

26 May, 2016

Practicing the scientific approach to the data exploration one should know at what extent certain method can be applied. Neural …

Read more

New Ways to Leverage Data to Drive Business Value

30 Jun, 2017

No longer the exclusive domain of tech companies or IT departments, data has become a business driver in a just …

Read more

Neural Networks: An art to mimic Human Brain

8 May, 2020

It is a bit ambivalent to decide where exactly one should begin in-order to start with a note on the …

Read more

Recent Jobs

Senior Cloud Engineer (AWS, Snowflake)

Remote (United States (Nationwide))

9 May, 2024

Read More

IT Engineer

Washington D.C., DC, USA

1 May, 2024

Read More

Data Engineer

Washington D.C., DC, USA

1 May, 2024

Read More

Applications Developer

Washington D.C., DC, USA

1 May, 2024

Read More

Do You Want to Share Your Story?

Bring your insights on Data, Visualization, Innovation or Business Agility to our community. Let them learn from your experience.

Get the 3 STEPS

To Drive Analytics Adoption
And manage change

3-steps-to-drive-analytics-adoption

Get Access to Event Discounts

Switch your 7wData account from Subscriber to Event Discount Member by clicking the button below and get access to event discounts. Learn & Grow together with us in a more profitable way!

Get Access to Event Discounts

Create a 7wData account and get access to event discounts. Learn & Grow together with us in a more profitable way!

Don't miss Out!

Stay in touch and receive in depth articles, guides, news & commentary of all things data.