WHY HAS IT BECOME IMPORTANT NOW?

COST REDUCTIONS

Data Science leads to cost reductions. Many organizations have found wastage by analyzing the data and applying the findings to improve their processes. Organizations have been able to reduce some of their costs to the tune of 10%.

PROCESSING TIME REDUCTIONS

Data Science has been successfully used to determine root causes of failures, issues and defects in near-real time. It has also led to entire new business processes which get completed very fast. For example, generating coupons at the point of sale based on the customer’s buying habits and recalculating entire risk portfolios in minutes.

INTRODUCTION OF NEW PRODUCTS

Big data innovation is to share ideas and concepts on how to efficiently extract the knowledge & insights from data that we hold as organizations; big data scientific inquiry requires less reliance on existing knowledge.

SMART DECISION MAKING

Topping the list of benefits realized from big data analysis are better strategic decisions (69%), improved control of operational processes (54%), better understanding of customers (52%).

OUR CAPABILITIES

Natural Language Processing

Deep Learning

Artificial Intelligence

Cognitive Learning

Collaborative BI

Neural Network

Predictive Modelling

Machine Learning

Time Series

Big Data

Image Analytics

WHAT IS THE PROCESS OF DATA SCIENCE MODEL CREATION?

  • COLLECT DATA

    2.7 Zetabytes (that’s 27 with 21 0s after it) of data exist in the digital universe today.

  • ANALYZE AND CREATE MODEL

    By 2020 analysts predict the amount of data will be 50x what it is today.

  • FINE-TUNE THE MODEL

    In 2012, 90% of all the data that existed in our entire history had been created in the previous 2 years.

  • PREDICT

    Every 2 days we create as much information as we did from the beginning of time up to 2003.

TECHNOLOGY CAPABILITIES

Data Management

Hadoop, Spark, SQL, Oracle etc.

Deep Learning tools

Tensorflow, PyTorch, Caffe, Theano

Application Development

Python, SAS, Hana, Java, VBA

Visualization tools

ShinyApp, Jupyter Notebook

Analytics tools

SAS, SPSS, R, Python, Matlab (Octave)

Other tools

PowerBI, Azure ML

Big Data Tools

Hadoop, Hive, Spark, H2O

Data Visualization

Tableau, Flex, BO, Spotfire

WHY DATA SCIENCE MATTERS?

Data Science is all around us. The massive volume of data which is being collected is worthless, unless insights can be gleaned from it and converted into useful business outcomes. What good is collecting data about customer’s site visits if it can not be used to increase sales or provide better customer service?

safetyalt
DATA QUALITY0%
We all know that garbage in leads to garbage out. A good quality data is the heart of good Data Science. We know how to make your data perfect so that you get the best results.
DATA ANALYSIS0%
After maintaining the data quality, Data has to be analyzed to identify those critical few features which are crucial to solving your business problems.
DATA DRIVEN BUSINESS MODELS0%
The features identified are used to create a model which helps us predict the behavior of your system and leads to a better business outcome.
VISUALIZATIONS0%
Great visualizations help us not only communicate to a wider audience but also help us more than what is out there.

OUR MISSION IS TO ENABLE OUR CUSTOMERS TO USE DATA SCIENCE TO IMPROVE THEIR CUSTOMERS’ LIVES AND DAY TO DAY EXPERIENCES