Too Much Data, Not Enough Information
There’s been an explosive growth in the amount of
data generated by companies, organizations, municipalities, people, and
devices. We’re sure that you heard how you can take that data, do some
reporting and analytics, and transform it into meaningful information to
make better business decisions. There’s just one problem. Working with the
variety and amount of data that is available is not easy and growing more
complex by the day as the data continues to pour in at a faster and faster
rate. There’s data from transactional systems that run your enterprise—from
manufacturing operations, POS Systems, ERP, Clinical Operations systems,
loyalty programs, and the like—as well as social media and public data. How
do you cut through all that “data noise” and turn it into valuable
It’s Time for Enterprise-Grade Big Data Analytics
We’re sure that you’ve read all about what other
companies in your industry are doing with big data and how these initiatives
have transformed their business. We’re equally sure that you’ve noticed how
much those efforts cost in terms of resources, data center infrastructure,
training, and of course, ongoing support and that there is a looming
shortage of talent able to help with these endeavors. Bottom line: It’s got
a big (no pun intended) price tag. In fact, it’s such an expensive
undertaking that very few companies are able to do it.
We believe that companies and organization of all
sizes should be able to reap the rewards of big data analytics. To
accomplish this, applications must replace the programmer-centric, “stone
age tools” that define most big data vendors today. These big data 1.0
products, based on open source projects like Hadoop or hyper-expensive
proprietary hardware platforms, need to be replaced with enterprise-grade
big analytics applications that are:
- Easy–to-use for the average business user.
- Customizable and powerful enough to support the most sophisticated statisticians.
If your big analytics solution is harder to use
than Excel, requires a dedicated team of programmers, or a hardware
investment worthy of NASA – PatternBuilders can help!
Delivering Big Data Analytics Applications
Our mission is to provide you with the
enterprise-wide applications that make big data analytics a reality for
organizations and businesses of any size. Our analytics applications come in
- Pre-customized with data and metrics for a specific industry,
like FinancePBI, the first real-time financial services big analytics
solution built for the cloud.
- A standard enterprise-grade analytics application,
analysts or quants can easily customize to meet all of their big
analytics needs for real-time or traditional batch-focused analytics.
All of our analytics applications are powerful
and easy-to-use, with Google-style search and point-and-click correlations,
and can handle real-time, streaming, batch, and geo-based analytics—no
matter the complexity. Designed for mashups and featuring user-data-uploads
with no heavy conversion pain, our applications enable all users to
transform data noise into useful information that, in turn, drives better
business decisions. With infrastructure costs in mind,
our applications can be deployed in a number of ways—in the cloud,
on-premise, or both. If you have a big data challenge, PatternBuilders has
the analytics applications and deployment options that will help to make you
successful and, just as important, self-sufficient.