Welcome to the new world! The manner in which data is generated and captured today has come of age. Traditionally the way of generating data for the most part from B2C/B2B2C business processes, was by having interactions captured as part of transactional systems in a highly structured format. But with changing technological landscape, much has changed in how data is generated and captured.
What data supports this view?
According to the ESG Digital Archive Market Forecast, the growth in data volumes that is driven by unstructured data amounts to more than 88% as compared to structured data. What’s more, Computer World states that unstructured information may account for more than 70% to 80% of all data in organizations.
The change has come because we in the 21st Century have redefined the way business is conducted. Significant advancement in internet technology has forced the need for digital online presence for most businesses to stay relevant. Likewise, every interaction that a customer has in the digital online ecosystem leaves behind a digital foot print containing huge amount of information.
Social media presences, for individuals and businesses, have increased the speed at which information travels. This has made it possible to share opinions as blogs or multimedia content. The result is the constant generation of large amounts of unstructured data.
All that Unstructured Data Is Good News for Data Scientists
However, this is good news for data scientists.
The previous figures imply that we have now Yottabytes  of data at our disposal for deriving business value—and that amount of data is about to increase.
The Internet of Things with its emphasis on completely connected systems has resulted in the availability of high speed streaming data. This makes it possible for new innovations that use data to build technologies to enable machines talk to one another (and perhaps eventually become intelligent enough to remove humans from the loop)! Taking the trend into consideration, Brontobytes  of data to work with will soon be a reality for data scientists.
So, what is the best way for a business to capture and benefit from this information? Of course, capturing the massive swathes of data available is an important part of the Big Data story. But it’s not the most important part.
The most vital activity is to generate insights that add value to your business. This takes vision, it takes change, it takes…advanced analytics.
For organizations embarking on a journey into advanced analytics, it’s vital to keep in mind these important considerations:
- How Do We Measure Business Value and Return on Investment?
- How Do We Use Advanced Analytics Effectively?
- Is Advanced Analytics Just Another Technology Project?
- Is Big Data Equal to High Quality Insight?
In future blogs, I’ll discuss each one of these considerations in more detail.
Let me know what you think. Did I leave one off the list?
Amick Brown would sincerely like to Thank Dr, Pallath for his contribution today .