Human beings have an ability for exploring the world around them and finding specimen needed, Big Data Analytics & Machine Learning can help us take this up and scratch it.

1. Big Data Analytics & Machine
Learning
Big Data is a megatrend impacting every facet of business decision making. With
our extensive experience converting big data into big insights, client are reaping
large bottom-line and top-line results. Be it large amounts of data (Volume), fast
changing or streaming data (Velocity) or multiple types of data such as
unstructured data (Variety), traditional analytics are combined with emerging
analytics such as Machine Learning and Artificial Intelligence to connect data with
business results.
Data Integration
The power of Big Data is multiplied manifold when different data sources are
combined. We have the technical and business know how required to efficiently
and effectively combine various data sources. Clients receive analytics ready data
that is primed to deliver insights and drive decisions.
 Pull data from a variety of sources
 Combine technological and business information
 Implement a hybrid architecture
 Get an in-depth look at the whole company
 Explore more Data Integration services
Data Warehousing
Setting up a Big Data ecosystem is a challenge. Data warehouses and data lakes are
an essential component of these systems. An intelligently designed data warehouse
meets your needs now and in the future.
 Plan data warehouse capacities for current and future use
 Optimize Big Data infrastructure for your workflow
 Incorporate data from new and traditional sources
 Blend the right technologies to achieve specific goals
 Build optimized data structures
 Big Data Analytics
 Data Visualization & BI
 Software Solutions
 Big Data Application Development
Big Data Analytics
Extract insights from fast-moving data on the fly with big data analytics. Absolut
data uses machine learning, text analytics, and other advanced techniques to
provide information that businesses need to react to events and make better
decisions faster than ever.
 Increase efficiency of the data analytics process

2.  Apply modern techniques like Naïve Bayes, Hidden Markov Models, Gradient
Boosted Models, Supervised and Unsupervised Learning, self-learning
models, etc.
 Test and adopt new tools such as Hadoop, SAP Hana, Hive and Python to
generate more impactful results
 Draw a more complete picture of your information
 Incorporate advanced analytics like complex event processing, sentiment
analysis and SPSS modelling
 Leverage the expertise of over 100 data scientists and data engineers
Data Visualization & BI
Data visualization turns raw data into meaning and meaning into understanding.
Business Intelligence takes technology and translates it into the words of the
business world. Together, these revolutionary tech applications clearly address
your toughest questions.
 Build industry-specific templates
 Design executive summary dashboards
 Get data-driven insights as they occur
 Access results fast with in-memory visualization
 Develop action plans based on clearly presented data
 Access dashboards on mobile devices