I recently spoke at the Data Summit
in NYC where the focus was to “Unleash the Power of Your Data”. This was a great
message for the event, as we live in a time where people are extolling the
virtues of data but numerous people struggle to grasp how data can change a
business, how can they harness it’s power. Today’s organizations have a good
handle on how well-defined data can be used to present information on how they
are doing. We produce reports on sales, on costs, we find can easily discover
what has happened, but the real business challenge is why and how to make the
future better. Predicting the future is the real silver bullet that companies
need, but one that will continue to be elusive.
The conference weighed this question in a number of different ways but
all had the same undertone that data is a resource which must drive value.
In my presentation, “Analytics
in the Time of Big Data”, I presented how BI and Analytics has changed over
the years. The evolution from reporting for the masses which was reactive and
provided summarization on what was happening to a future where results and
effects can be accurately predicted and create an environment where the right
decision or action can be enacted. Reporting is changing and growing and we
need to understand the opportunities they provide.
The basic type of reporting or
analytics is known as Descriptive Analytics and is the most common method of
reporting we encounter, but in many ways it is the most limited form of
analytics. In Descriptive Analytics we provide a description of what has
happened. It provides the pulse on the business and is illustrated through
standard reports and dashboards. The next is Predictive Analytics which uses
statistics, modeling, data mining and machine learning to analyze current data
to predict what may occur. This provided a way to figure out what may happen in
the future based on experiences of the many. We see this type of reporting
everyday we are on the Web. We see recommendations for content and products
which are based on what we do and what we read and watch. The final and most
productive analytics is Prescriptive Analytics which takes predictive analytics
and adds actionable data from both internal and external sources and the
ability to capture feedback to then improve future analytics. In the Oil and
Gas industry they use prescriptive analytics to determine the best place to
drill, the best methods to use and the production that the well will produce. This
progression is natural but there is significant resistance and lack of
knowledge which is restricting businesses chances of evolving and this was
widely discussed during the event. The change is needed if businesses are going
to compete but companies need to start as the journey is not a short one.
The challenge is to provide access
to the data in a form which allows for the integration of all your data in one
place in a governed and controlled area. We need to build data repositories which can support
these needs, but in reality is it realistic to think all of your data will be
in Hadoop or in an RDBMS. We need to find a solution which provides a federated
view of all your data in a meaningful way for the business, this is known as
data virtualization. The concept of data virtualization is one where the structure
of the data may not be well understood at first but during the use and
application we put meaning to it and create useful business definitions and
relationships for use by the entire business. Consider this a Schema-on-the-fly
approach which can provide flexibility while allowing the core data to be available,
it also provides users with the ability to define the data that they need when
they need it. It includes the merging of from both internal and external
sources in a way that simplifies data access for users by hiding the complexity
in the data through data virtualization. Now we have the ability to solve the integration
and availability of the data but we will still need to change how we do
analytics and look to our mathematicians to help us expand what we do and how
we provide our services.
The evolution of reporting is underway
and we need to look at how we can provide our business analysts, business users
and consumers with the information they need when they need to empower them to
make better and more accurate decisions.
Actually I still have a little confusion about this thing, yet I should say thank for your fresh ideas.
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