The world is changing in Zetabytes (1 Trillion Gigabytes) every year. There is more global information available to us in the last five years then there has been to humanity since our inception.
With every trade in a stock market, IOT sensor response, with every like on Facebook or tweet and subsequent responses on Twitter, new data is being created.
What does this data have to say about you and your business? These are some of the questions we love answering.
We specialize in augmenting your companies on premise or cloud data with existing datasets circulating the world wide web that are relevant to your business and we use this to gain insights into improving your bottom line.
Are you achieving insights from your data?
We split enterprises into three main layers, namely:
While most companies focus on the top two layers in delivering insights, we pride ourselves also in focusing on gaining insights from the operational layer as well.
Using both Data Sciences as well as AIOps, we gather the relevant metrics and insights that bring in operational efficiencies, understand the business at a deeper level and contribute, ultimately, to a saving that would normally have been accepted as a revenue loss.
Is your data informing your business decisions?
In order to reach maximum insights, one needs to get the most value from their data.
This can only happen when your data is both easily available and consumable.
We assist you in this process, throughout the entire value chain of your data in four main areas:
AI and ML
We adhere strictly to the DAMA Framework in ensuring the integrity of your data.
Is your data allowing you to make timeous decisions?
There is a cost / benefit to real time insights vs historical.
There are usually three types of analytics afforded to an enterprise:
Descriptive (what’s been done),
Predictive (what the existing trend will look like at a set time from now) and
Prescriptive (what can be done in order to change things)
Most companies focus on the first two. Using AI and ML we really hone in on prescriptive analytics in order to gain deeper insights that allow for automated rapid process intervention
Ultimately this leads to an increase in revenue and profitability.