At its core, Predictive Analytics answers the question:

• WHAT will happen, WHEN?

By doing so, Predictive Analytics helps businesses run their key processes and initiatives, looking forward. Think about how you drive your car - you drive by looking ahead through your windshield,while using the rear view mirror only occasionally.Unfortunately, mostbusinesses, including some of the largest corporations in this planet, still drive many of their key processes and initiatives by looking in the rear view mirror.

Let's take a Contact Center example. Predictive Analytics can give you, along with many other insights, the following answers:

Root Cause Analysis, as the name suggests, is usually done to identify, quantify, and rank the primary drivers responsible for an issue or an opportunity.  Doing so, lets you focus on the levers with the most impact and the ones you can actually control.

DataInfoCom's patent-pending technologies enable Root Cause Analysis for a predicted issue or opportunity, thus facilitating proactive decision making to preempt upcoming issues and/or to benefit from upcoming opportunities. 

Let's take a Contact Center example.  Root Cause Analysis, done the DataInfoCom way (in a predictive environment), can give you, along with many other insights, the following answers:

Simply put, Optimization lets you maximize or minimize a metric by focusing on levers under your management control, while staying within your constraints.  Your constraints can be cost, other metrics, actionability, etc.

DataInfoCom uses the word Optimization, loosely, to also describe the technology to suggest decisions to bring in a metric within a desired range by adjusting the levers under management control, while staying within the constraints.

DataInfoCom's patent-pending technologies allow for Optimization to preempt a predicted issue or to benefit from a predicted opportunity, leading to actionable decisions to leverage the value of predictive analytics in a timely fashion. 

Let's take a Contact Center example.  Optimization, done the DataInfoCom way (in a predictive environment), can give you, along with many other insights, the following answers:

As the name suggests, What-If Simulation is usually employed to understand the effect of proposed changes on interrelated items, prior to actually making these changes in real life.  What-If Simulations can enable effective decision making by holistically taking into account many factors and metrics whose interrelationships may be difficult to understand and/or quantify.

DataInfoCom's patent-pending technologies allow for What-If Simulations to address predicted issues and/or opportunities, holistically.  This enables proactive and fact-based decision making, upon consideration of the major pros and cons, to preempt an upcoming issue and/or to benefit from an upcoming opportunity.

Let's take a Contact Center example.  What-If Simulation, done the DataInfoCom way (in a predictive environment), can give you, along with many other insights, the following answers:

These technolgies do work and they are being used by your industry leaders as we speak.  Many leading Global Fortune 500 corporations have already implemented - and/or are experimenting with - some of these technologies for their key business processes and initiatives.  You are not taking a risk by trying them out; you are taking a risk by not doing anything about them.  Welcome to the movement of fact-based, proactive decisions.

DataInfoCom, for example, has successfully implemented all of these technologies to significantly improve upon several business processes (a few of those are listed below) for two highly respected, "Fortune 50" corporations.

Believe it or not, you can start benefiting from these technologies for much cheaper than you may think (and much quicker than you may think). 

Let's take a Contact Center example.  Here are some ballpark numbers and timelines so you can have realistic expectations.  For $250,000 and within 8 weeks, DataInfoCom can Predict, Analyze, Optimize, and Simulate:

Yes and none.

You should apply these technologies to improve upon your key processes and initiatives (and not necessarily to disrupt them).  These technologies are merely enablers; they don't run your processes and/or initiatives for you, they just enable you to run them more effectively and efficiently. 

At the end of the day, they are there to help you get much more out of your existing and new processes and initiatives, by enabling proactive and fact-based decision making.  They are facilitators, not distractors.

Depends on if you would like to implement the technogies yourself 'or' just have us use them to give you predictive and actionable insights in a timely fashion.  We suggest you do the latter first - that way you can walk before you run.  Worst case scenario, you can cut the chord in 8 weeks with no further obligations whatsoever, if you are not satisfied for any reason.

Let's take a Contact Center example.  For a typical engagement to give you proactive and actionable insights every quarter (say), using DataInfoCom's patent-pending technologies, you may need to assign 2-3 part-time resources to collaborate with our team.  Your resources will give us your data (that we would use in our models) and explain to us any idiosyncrasies associated with the particular process and/or initiatve in discussion.

You won't know, until you sit down with us to discuss your process/initiative and your priorities. 

We will tell you what we will do, how we will do it (in as much depth as you would like us to), and what outcomes you can expect - we will also develop an ROI model, in collaboration with you, for other people in your organization whose buy-in you may need to move forward.

Tell your boss what we have already done for the two "Fortune 50" corporations.  Request your boss to speak directly with these reference customers to find out their experiences first hand (much better than us pitching you).  Let us show your boss how exactly we have helped other industry leaders, the companies s/he knows well; the devil is in the details (and we love the details).  

If you are using us to give you predictive and actionable insights, periodically (every quarter, for example), what you are doing with us doesn't affect your IT organization in any way.  Of course, you should involve your IT stakeholders if you are planning to bring these technologies in house and operate them yourselves (may want to walk before you run, in our humble opinion).  

The fundamental premise of what we do is based on data and mathematical sciences; there is really no room to trick anyone. For example, to find out if a prediction for a metric for next month (say) is accurate, all you have to do is wait a month.