Big Data Consulting Services, Big Data Analytics Services, Integration

Get Big Benefits from Big Data Consulting Services – With a Structured Engagement Approach

Define business goals that are expected from the insights derived from ‘Big Data’
Formulate a primary business use case to start with
Conduct feasibility of business use case including availability of data
Ensure a defined data governance framework to adequately protect information privacy and security
Connect stakeholders including senior management as well as users directly linked with the use case
Execute a proof of concept around the primary business use case (PoC)
Upon validation of PoC, assess choice of tools/technologies and sizing of infrastructure required
Take a structured approach of data ingestion from different platforms, transformation & analysis
Monitor adoption and ROI of big data consulting services

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The Client and its Requirement:

Aadhar is a 12-digit unique identity number (UIN) issued for Indian citizens, and it is the largest implementation of Big Data project in the world. The client had their Hadoop Big Data implemented on early version of Cloudera distribution. They wanted to try and migrate to any latest Hadoop distribution. GrayMatter, as a leader amongst hadoop consulting companies, provided best-in-class hadoop consulting & implementation expertise, which enabled the best fit solution.

Challenges:

No conceivable storage platform was available for the data types and size
- 1.3 billion records
- 37 TB of data per month to begin with
- Unstructured data type like biometrics, Iris
- Transactional data from multiple agencies
Absence of a database to execute any business logic as envisioned
No tool available to perform aggregation of Big Data and thus perform the analytics
Capability to perform on-line as well as off-line analytics was business critical

Solution:

Solution was implemented with 150 nodes using MapR distribution and Pentaho’s PDI for data integration & data processing in Hadoop
The BI and reporting platform was created using Pentaho BI platform
There were no readily available tools and technology for a viable solution which was finally a combination of multiple tools and technologies with Hadoop / Big Data
Pentaho PDI was key to connectivity between source system and the Big Data/Hadoop platform
Pentaho’s Big Data friendly environment was key for the transformation of data into information based on business rules on the Hadoop platform

Benefits:

Comprehensive Big Data enabled platform in place
A complete BI & analytics platform in place to create multiple analysis including business critical off-line analytics
More than 5000 vendor agencies using this platform today seamlessly and successfully
Authentication of user information executed successfully which was a fundamental need

The Client and its Requirement:

A multinational beverage and brewing company with global headquarters in Leuven, Belgium. It was the world's largest brewer and is considered one of the largest fast-moving consumer goods (FMCG) companies in the world.

Challenges:

Need for stable and scalable data integration platform
Business users were unhappy with the performance of the BI system
Lack of actionable insights
Capability to perform on-line as well as off-line analytics was business critical

Solution:

Choice of Hadoop ensures scalable system with high availability
Qliksense replaced QlikView, working on top of Hadoop DW to deliver fast and intuitive insights
Timely alerts and actionable insights using Predictive analytics
Pentaho PDI was key to connectivity between source system and the Big Data/Hadoop platform
Pentaho’s Big Data friendly environment was key for the transformation of data into information based on business rules on the Hadoop platform

Benefits:

More accurate business decisions enabled by data consistency
Faster reports and dashboards, leading to timely decisions
Flexible, scalable and stable BI platform at low cost, enabled by usage of open source technology

The Client and its Requirement:

Advisory organization that develops insurance policy forms and loss experience rating information. The crucial need was a scalable analytics platform for the growing data volumes. Data integrity issues, which keep changing as per business rules. Also, their Reporting on transactional data was causing limitation in drawing necessary insights.

Challenges:

Reporting on transactional data causing limitations in insights
Data integrity issues because of frequently changing business rules
Need for scalable system to meet growing data volumes

Solution:

High performance data warehouse on Hadoop that enables fast, accurate, role-based insights
Dynamic ETL to accommodate changing business rules
Hadoop Data Warehouse offering scalable and stable analytical platform

Benefits:

High performing, future proof, role based insights
Relevant and accurate business decisions that factor for frequently changing business logic
Flexible, scalable and stable BI platform at low cost, enabled by usage of open source technology

The Client and its Requirement:

A global energy management specialist with a need for reduction of warranty costs incurred for repair

Challenges:

Complex analytics scenario involving big data and advanced correlation in such data, e.g., the company has 30000+ repair centers across 80+ countries, 20+ factories across globe, 100,000+ SKU, 50-100 Million units over 3-5 years of warranty support and a very complex organization structure
Complex data coming from repair stations, manual inspections, and corporate master data, manufacturing machine logs, manufacturing test station, ERP, CRM and few other sources. The data volume could be in tune of 10+ TB with 30-50GB data coming in every day.

Solution:

First of all identify which are the Top 50 SKUs with highest field failure rate and are contributing to 80% of warranty cost. Once SKU’s are identified, a particular SKU may have one million units (serial numbers) that have failed over the years in market
Find out which factories they were manufactured in and find out Top 10 failure causes, symptoms and components. Identify top 10 components which are failing for a particular SKU
Once SKU or group of SKU is mapped to manufacturing unit, identify the manufacturing process history and Bill of Material used at the time of manufacturing
After accessing data, it is important to find patterns for component failures which has caused high field failure rate, there can be several reasons for high FFR (field failure rates)

Benefits:

Reduction of warranty claims costs by 6-10% for a yearly $400M warranty spend
Enhancement in manufacturing quality and hence reduction in cost of rework
Ability to identify the specific SKU serial numbers which are affected, thereby enabling precision in recalling the specific batches of products

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Big Data Consulting Services

GrayMatter drives palpable benefits of business to every client and duly shifts the analytics from being centers of cost to that of revenue. Our Big Data Consulting Services practices integrate Big Data Consulting Services to manage the information lifecycle which has not received its much deserved attention. Our features are integrated with in-depth expertise in big data to assist clients in making optimized decisions and results.

Being one of the major Big Data analytics companies, we make sure our structured engagement approach ensures fair investment in moulding a robust capability on big data through the development of industry-specific solutions that will deliver industry assessment to our respected clients. The experts and dedicated consultants of big data at GrayMatter assist the clients in the realization of genuine values of corporate business in the platform of big data. We provide an all-inclusive roadmap on the technologies of big data and a framework and architecture of reference along with best possible practices for the implementation of technologies. Our data visualisation techniques for reporting and analysis of use cases of big data, for implementation of BI, advanced visualization technology of big data, predictive prototyping and complex analytics has acquired us a niche in the industry.

At GrayMatter, we identify the inherent opportunities of Big Data Consulting Services with the aim of improving the future of innovative analytics for the same. Count on us as the best choice amongst the other in the lot of Big Data consulting companies.

Consulting

Data Strategy, Technology Selection and Architecture Advisory

Data Integration and Management

Extraction of Big Data from diverse sources and processing of the same

Cloud Services

Secure, scalable and high-performance big data platform on the cloud

Discovery Services

Visualization services on top of Big Data processing landscape

Performance Tuning

Monitoring, maintenance and enhancement to improve performance

Training

Training on technologies like Hadoop, Apache, Spark, Hive, Cassandra, MongoDB

Typical Architecture

Ingest-Transform-Analyze-Visualize

High volumes of complex data are acquired from a variety of data sources and processed.
GrayMatter experts enable merging, transformation and processing of such data before load to target data warehouse, to enable analysis on top of such data

Technical Considerations for Recommending Tools/Technologies

What is the structure of data sources which needs to be leveraged within business? Is it unstructured, semi-structured or highly structured?

What is the analysis type which should be used? Is this batch or streaming/real-time?

What is the volume of data received? Are these massive chunks or small and fast chunks?

How to store data or how to process it?

Data frequency of the data being processed? Is it on-demand, continuous feed or real-time?

What type of data sources do we need to work with? Web & Social, Machine generated, human generated, biometric, transactional system or other?

What will be the consumers of this data? Will it be human, business process, other enterprise applications or other repositories?

How to visualize results?

Contact our experts!

Expertise across Technology Stacks

GrayMatter has an experienced team of Big Data Specialists. GrayMatter’s Big Data experts have skills in a variety of technologies & tools including Hive, Cassandra, Hadoop, Spark, Hbase, MongoDB, Kafka and Flume. GrayMatter’s offerings in this space range from Big Data Consulting Services to the implementation of the advisory provided. GrayMatter’s stellar experience and skills ensure that path-breaking Big Data Consulting Services and implementation are delivered to every customer, which makes GrayMatter stand out amongst big data analytics companies.