• Big Data
  • Information
  • Data Analytics &
  • Architecture as
    a Service
  • Advanced Interactive

Every day we create 2.5 quintillion bytes of data. 90 percent of the data in the world today has been created in the last two years alone. This data comes from a wide variety of sources: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records and cell phone GPS signals, to name a few. This creates a huge deluge of Big Data.

Industry is trying to capture characteristics of Big Data with 4 V's.

Volume: High Volume which is bigger than ones organizational current capability.

Velocity:  Rapid data generations. Like Facebook post, sensor data or even network/call detail records for telecom service providers.

Variety: MostinterestinglyBig Data is not always confined to predefined structure as was in case of RDBMS. We are talking about internal and external source generated data here and it may come in any size and share like video, audio (mp3), text (Facebook/Twitter posts) and/ or just binary bytes like data generated by an MRI machine.

Veracity: As the complexity of information grows, organizations must improve the level of trust users have in information, ensure consistency across the organization and safeguard the information. Establishing confidence is essential for driving better business results.

Important question is not how big is Big Data? Neither how different data is from formatted data?

It is rather to ask, is this data useful for my organization? The answer is yes. As per one study almost 30% of data available today is useful and extracting value out of Big Data for any business would provide it with an added advantage to its competitors.

The most important V for organizations is Value. It is important to understand what questions to ask to extract values out of Big Data.


As a specific business house, whose focus is not data, rather delivering business to customer following challenges are very common.

  • Big Data is really big! Will it drive my cost up and return with minimal ROI.
  • We don't have capability to handle Big Data. Shall we use Hadoop, HBase, Cassandra or latest Spark technology for our need?
  • Which tools and technologies to be used for analytics. R, SAS, SPSS or something else?
  • How about data security?

ANVAYA Offering

In Anvaya we follow a very simple principle: " You know your business, we understand how best to handle data to get insight". We provide Big Data analytics solution by partnering you and using a very simple 3 step process:

ANVAYA Advantages

Anvaya provides end-to-end capability to strategize, experience and adopt Big Data analytics.


  • Ourteam has thousands of hours of collective experience in handling Big Data and doing big ticket implementation.
  • Our Expertise included Hadoop, HIVE, HBase, Cassandra, Impala, MongoDB and Spark.
  • We have expertise of implementing on-premise and cloud based solutions. Cloud may be private or public cloud with leading vendors including AWS, Rackspace.
  • Extensive experience with large scale MPP databases including Teradata and HP Vertica.


  • 'Anvaya Analytics Innovation Lab' is created with sole idea of translating business data problem to an analytics solution. Tie up with leading college provides us distinct advantage in bringing the solution quicker to market.
  • We have highly qualified statistical experts from reputed colleges.
  • Our expertise with R, SAS and SPSS enable us to implement analytics solutions as per client need.


  • We are expert with advance visualization tools including Tableau, YellowfinBI, Zoomdata.
  • We create custom visualization using D3.js, node.js, HTML5 etc.
  • Our expertise include popular reporting tools including SAP Business Object, Microstrategy and open source tools like Pentaho.

Most importantly, we partner you in solving your problem using iterative Agile development process. You can count on us!

Information is one of the most valued possessions for an organization. It is important for the business growth to deliver the right information to the right people at the right time to enable them make the right decisions. The question is how we can effectively tap the flow of information to gain the business insightsin the time when the information is flowing from multiple sources and more unstructured in nature. We believe in four elements that can help an entity to effectively transform the information into a strategic asset.

Data: Integrated, Cost Effective, Optimized and Scalable data processing and data storage layer which works as the central control of the data creation and definition.

Information: The data should be contextualized, categorized, calculated and condensed before it can be presented as information.This helps you in understanding the data relationships and answer four “w’s” i.e. who, what, where and when.

Knowledge: The Information can be turned into valuable insights which can reveal the facts and truths.

Wisdom: The knowledge and information can be used to make right decisions. This requires a deeper understanding of the business function and helps you in answering the “why”.

ANVAYA Offering

An Effective Information Management is not a technology problem or about big IT investments. We believe it is about finding small focused information use cases where we can add business value. We offer a unified approach to IM services and a vast range of capabilities, including:

  • Business Intelligence
  • Data Warehousing
  • Data Integration Services
  • Robust Data Model for Decision Support Systems
  • Enterprise Data Management
  • Performance Management

Data Governance

Data Governance is a key driver in the Information Management System that involves defining the standards, processes and technology on which and organization relies on to manage its data. It ensures that the suitable stakeholders representing business processes, data and technology are involved in the decision-making.We focus on fourkey steps to come up with a holistic Data Governance strategy.

  • Involves appropriate stakeholders?
  • SatisfyRegulatory Requirements?
  • Ensures Business Continuity?
  • Drive Accurate Search and Retrieval?

ANVAYA Offering

We believe that Data Governance project initiation requires an experienced consultant who invests time in understanding current business process and the requirement of each business individual business unit. Anvaya has a strong knowledge base to develop an optimized data governance strategy.

Collaboration with the Stakeholders:

  • Introduction of key entities andspecific assignment of roles
  • Establish a clear scope ofengagement
  • Work with the you to outline the data governance challenges
  • Understanding your preferred future state vision

Current Environment Evaluation:

  • Detail interviews with keystakeholders
  • Evaluate current operatingprocedures
  • Evaluate currentcommunication process
  • Evaluatecurrent datagovernance and quality models

Future-state Environment Design:

  • Identification of the future stateobjectives and operating model
  • Conducting a Gap Analysis
  • Creation and validation of the execution plan and roadmap

Data Quality

Unorganized and obsolete data often leads to bad business decisions which can further create a ripple effect causing lost opportunities and increase in cost. Right Data Quality strategy helps in improving your data and processes, providing you with a dependable information system.

ANVAYA Offering

We strongly believe that Quality Data Leads to more accuratedecisions, our Data Quality strategy cleanses the data in your information systems and help you map the source of data inaccuracies. We analyze the complete data lifecycle and help you transform the data into complete, timely, accurate, consistent, relevant and reliable

  • Data Profiling for improved information quality
  • Cleanse data and remove inconsistencies
  • Control the magnitude of manual data adjustments
  • Enforce data compliance to ensure adherence of data to both Enterprise and Regulatory requirements
  • Setup Data Traceability to track all access and changes to the data
  • Increase the overall visibility of data quality issues in the system

ANVAYA Differentiators

  • Our team comes with immense experience with multiple end-to-end large scale Enterprise Data Warehouse implementations.
  • We know that every client has unique set of requirements. We do not propose pre-defined strategies, rather we customize the strategy to best suit your environment.
  • We strongly believe that and Effective Information Management system is not always about big IT Investments hence we always propose the Data Driven Investment approach.

ANVAYA works with a vision of making analytics accessible and relevant for business success. We offer analytics services and consulting across various domain to help clients use data as business strategy.

ANVAYA offers

Customer Analytics

ANVAYA helps client to analyze and determine insight of customer at every phase of engagement. Following is the snapshot of our customer analytics engagement cycle.

We focus on helping client understand real life time value of a customer and take appropriate action to retain loyal and profitable customers.

Supply Chain Analytics

Supply chain is complex and very hard to optimize. Use of right analytics and models can not only differentiate players in terms of quality of service, but also saves valuable bottom line. Anvaya brings domain experience and analytics modelling skill to help client conquer supply chain business process challenge.

We offer:

INVENTORY OPTIMIZATION: Inventory management and optimization is dependent on many moving factors, primarily fact changing economic factors, high demand uncertainty, and short product lifecycles.  But, by achieving inventory management one can benefit following ways:

  • Reduced inventory
  • Reduced inventory carrying costs
  • Freed working capital from unnecessary inventory buffers
  • Lowered obsolescence rates
  • Better customer service performance

Anvaya helps incorporate all possible factors, uses data from various sources including warehouse, Supplier, Stores, Customer Demand, etc. to come up with most suited solution for optimizing inventory.

DEMAND ANALYTICS: Demand forecasting helps clients understand potential cost and planning for inventory. We use forecasting tools and machine learning to identify and forecast demands per article or SKU. The granular forecasting helps client plan better and reduce unwanted expenses, improving profit margins.
In addition ANVAYA provides various analytics consulting and services based on client requirement. Following list highlights a few of those use cases:

Risk Analytics

  • Claims Modeling
  • Insurance Underwriting
  • Lifestyle Based Analytics
  • Banking — Bank Failure Prediction

Workforce Analytics

  • Workforce Intelligence
  • Safety Analytics
  • HR Reporting Analytics
  • Workday Predictive Analytics

Organizations are generating, storing and retrieving incrementally more data every month. Moreover, there public data streams like Facebook, Twitter etc. are playing big role in decision making. It's important to use all these data efficiently and cost effectively to excel in business decision making.

We found that there are primarily three kind of access requests for data processing:

Interactive queries have historically been used for core operational systems. Queries specific to a customer or a transaction in the past, are expected to be answered fast. Batch queries are used for answering a decision problem based on past data. Streaming queries are meant for real time insights.

Business requires all the three types of questions to be answered, quickly and correctly. Businesses are struggling today as there are different architectures for different scenarios. In reality, we should look into the future and create next generation architectures for decision systems.

To simplify it, the architecture should have only three layers to provide above functionalities.


The challenge is there are myriads of tools and packages available to solve this typical architecture problem.

  • Different tools for solving different problem. E.g. Oracle, HBase can be used for solving interactive query problem and Teradata or Hadoop for batch processing problem. Which is the right combination?
  • Complexity of data architecture over period of time: When solving local problems, we create overall architectural inconsistency for the enterprise.
  • Redundant architecture components-leading to multiple version of truth.
  • Cost of ownership increases dramatically. Spend money to build many systems, spend money to maintain all.

ANVAYA Differentiators

It is important to get right consultation on getting the right architecture for the enterprise. We provide with extended architecture teams to clients. This team complements clients competencies by

  • Technology neutral architecture solutions. Solution architecture should focus on implementing client vision.
  • Scalable, Futuristic and Secure. We bring years of experience in providing solutions to design optimally secure, scalable and future looking architecture for clients.
  • Work with multiple stakeholders. Being independent team helps us to break the silos and provide an acceptable solution for common goals.
  • Fast and Effective. We use iterative models to deliver our services and consulting quicker, making clients realize tangible benefit sooner than later.

With the rise of unstructured data, there is too much of information available to visualize it effectively using conventional BI query and analysis techniques. New generation of data visualization techniques have arrived in the market that allow business users to access business intelligence and analytics data in more easy to understand formats. Advanced Interactive Visualization techniques also offer innovative ways to explore data, through visuals like geospatial analysis, heat maps, tree maps, bubble charts and word clouds.


In a distributed organization structure the datasets are often large and complex and include variety of identifiers and hidden insights. The visualization becomes more challenging as we move towards the small screens of handheld devices. We have identified few of the challenges faced while setting up an advanced data visualization interface:

Right Tool Selection: The availability of multiple tools with unique functionalities makes it very difficult to choose the most suitable tool for the business.

Analysis of Big Data sets: It is very important to understand the infrastructure needs to analyze the huge set of data without compromising on the performance.

Hidden Insights without Data Visualization: Conventional BI tools and techniques restrict the users to discover hidden patterns within the data without appropriate visualization design and interface.

Complex Tools: Most of the times organizations struggle with the existing technical competency to implement and integrate new and complex visualization tools.

Visualize Data Points on a Single Screen: When you have numerous data points it becomes challenging task to find the patterns and correlations by navigating through the data on a single screen.

How we can help?

Technology should not be an obstacle for using the Advanced Data Visualization applications. We believe, it is about finding the right tools and techniques to avoid mistakes during design and implementations. When you need to present a critical pieces of information, from various sources on a single screen, while maintaining a polished and consistent user experience, our visualization experts can help you with the following:

Anvaya Differentiators

  • We have the expertise to create custom visualization using D3.js, node.js, HTML5 and CSS3.
  • Our team consists of Visualization experts with working experience on leading advance data visualization tools including Tableau, QlikView, Spotfire, Yellowfin BI and Zoomdata.
  • Our experience includes popular enterprise reporting tools like SAP Business Objects, MicroStrategy and Open Source tools like Pentaho.