Companies across all industries find themselves with an innumerable amount of raw information from customers, suppliers and more, all housed in various systems operating throughout their IT environment. With this in mind, we need to ask ourselves some serious questions: What is the best way to take advantage of this data? Is it possible to use it to optimize our processes? How can I profit from it? Now, thanks to the fast progress and maturity of cloud-based technologies, companies are able to answer these questions to better understand their businesses and the markets they operate within.
So how do companies get from point A to point B? The answer is search-based analytics.
Using search-based analytics, business users can fish what they need from a sea of messy information to make real-time, actionable, usable sense of big data. This data becomes a solid baseline for decision making on production processes, marketing actions or sales activities. On a broader scale, this business intelligence also allows you to anticipate market changes faster, giving you a clear advantage over your competitors.
Search-based analytics also enables a top tech trend for 2017: the ability to humanize data. In a recent Forbes list that covered the seven biggest trends for the upcoming year, the author focused on what’s next with big data:
“Big data has been a big topic for the past five years or so, when it started making headlines as a buzzword. The idea is that mass quantities of gathered data—which we now have access to—can help us in everything from planning better medical treatments to executing better marketing campaigns. But big data’s greatest strength—its quantitative, numerical foundation—is also a weakness. In 2017, I expect we’ll see advancements to humanize big data, seeking more empathetic and qualitative bits of data and projecting it in a more visualized, accessible way.”
In order to work towards the idea of humanizing data, our tools must be capable of understanding and responding to user’s questions intuitively. This is why search-based analytics is important – it allows users to interact in a very natural way, improves their experience, and makes them want to come back and use it more.
Semantify combines the power of technologies like natural language processing, semantic knowledge modeling and contextualization in search to enable everyday business users to access data on their own. Business users across any department in the organization can simply type a question in the search bar in their own words and Semantify will find the answer in their information universe, in whatever system it resides.
So, why aren’t all businesses utilizing search-based analytics?
For some organizations, change can be difficult, especially when it comes to introducing new technologies. In most cases, they feel they are investing big capital in something that only will capitalize in the mid or long term. The problem is that by delaying it, they’ll find themselves behind the competition.
As we find ourselves mere weeks from a new year, now is the time to get your data strategy off the ground. It’s time to step up and bet for the progress of your organization.