Download Leveraging Massive Data Analysis for Competitive

Corporate Data Science:
Leveraging Massive Data Analysis for Competitive Advantage
(July 2016 Boston,MA)
EFRON Consulting and SFL Scientific
are proud to offer a fully tailored
corporate data science service.
We leverage EFRON’s expertise in
managing complex enterprise wide
I/T initiatives with SFL’s data science
experts. Whether it be market analysis to increase your business
competitiveness or deep learning for self-driving cars, together
EFRON-SFL can support all your data science needs.
At EFRON-SFL, we subscribe to the CRISP-DM methodology for the
execution of our data science
engagements. CRISP-DM is the
Cross Industry Standard Process for
Data Mining, consisting of six cyclic
phases from business understanding
to final deployment.
On any project, the first step is
careful planning. This is the Business
Understanding phase. We will sit down and clearly understand your
For more information, contact Michael Segala at [email protected]
or visit our website www.sflscientific.com
corporate objectives, so that we can map them to successful
outcomes.
The next phase of data preparation is typically the most time
consuming. This ranges from data scrubbing, conversions, and
quality investigations until ultimately we can implement a repository
for the
cleaned data to be stored. We at EFRON-SFL will lead you through
the warehousing options and trade-offs to ensure your exact business
needs are met.
The data, properly cleaned and stored, is
now ready to be analyzed. It is here that
we use the latest and greatest big data
techniques to extract the value from your
data. The advanced methods we use live
at the intersection of applied mathematics
and computer science. Common
algorithms include: Bayesian Networks, Hidden Markov Models, Game
Theory, Neural Nets, SVMs and Decision Trees with applications in
diverse fields such as Time Series Forecasting, Disease Diagnosis,
Customer Segmentation, Artificial Intelligence and Natural Language
Processing.
For more information, contact Michael Segala at [email protected]
or visit our website www.sflscientific.com
Using these methods, the model is
created through a process called
“training”, where we derive robust
statistical patterns to explore and
model your data. After we validate
our results using analytical
techniques, we are ready to deploy
the model. This final step is where we will predict, classify, and
diagnose on new data.
EFRON-SFL will guide you through the entire CRISP-DM cycle to give
your organization true market advantages. Contact us for more
information on how we can leverage these technologies to enhance
your business.
EFRON Consulting:
A global organization with over 700 employees, we support dozens of
enterprise-level engagements in industries ranging from banking,
insurance, healthcare to telecommunications across three continents.
SFL Scientific:
A boutique data science consultancy, founded by three Brown
University Physics PhDs. SFL Scientific specializes in using advanced
machine learning to solve your big data problems.
For more information, contact Michael Segala at [email protected]
or visit our website www.sflscientific.com