BIG DATA Lakes, Science of Data Analytics, ML & M2M & M2P, P2P, IOE Refineries & IOT Factories

At eKriya, IOE practice relies on a well proven and robust methodology that leverages a cyclical as well as interdependent process encompassing major activities such as- Connect, Communicate, Capture, Compute, Curate, Consume, Control….Connect, Communicate… 

According to The Economist, 75% of global business leaders are now exploring the economic opportunities of IoT to create new markets or improve existing services. GE estimates that IoT has the potential to add $10-$15 trillion to global GDP over the next 20 years, essentially doubling the US economy. GE Predix, IBM Watson, Cisco, Microsoft, Samsung playing a major role in this space addressing needs of PaaS, SaaS, Iaas, Analytics via innovative apps and cloud computing techniques.

Now, BI practitioners deal with structured and unstructured as well as streaming data with curated information– managed and harnessed it for insights. Structured data is typically 20-25% of data generated by any organization. The rest 75-80% is composed of unstructured data (Text documents, Files etc.) and hitherto there has been no system / technique / platform to derive insights from this dataset. BIG DATA techniques help organizations to manage large volumes of data (terabytes to exabytes to petabytes), different varieties of data (structured, semi-structured and unstructured), handle ever increasing data velocity and perform complex analysis that have high variability.

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Internet of Everything [IOE] covering BIG Data Lakes and IOT Data refineries via Fog nets and Cloud Computing clearly is one of the main and critical requirement of this Digital Transformation age. For example, Energy and Utilities sector’s key drivers such as – Improving generation performance, driving operational efficiency with the advent of SMART GRID, SMART Meters transform delivery from reactive mode to proactive mode, heavily demand structured framework to deal with organization’s BIG DATA. Now we receive not just data but also informational insights on demand.

BIG Data Lake:  As part of Enterprise Architecture, this encompasses reference models and related methodologies, frameworks, becomes the main driver to identify low hanging fruits / organization level improvement transformation opportunities. eKriya’s experts, focus on solving client’s key challenges, in terms of implementation with room for future adoption and enhancement. Technologies like Hadoop, Map Reduce, Cloudera, Pig, Hive, HBase, Horton Works, MongoDB, Casandra, NoSql, Google Bigquery have already become mainstream technologies interacting with the underlying disparate heterogeneous structured and unstructured data systems and leveraging the interrelations of this untapped data to present on the business layer, of the global enterprises. At eKriya, our architects, BI solution practice heads in this domain help clients digitally transform by managing solutions right from the assessment, design stage thru post-deployment maintenance evolution stages.

Broadly speaking, eKriya’s solution offerings in this domain warrant the use of comprehensive, robust models covering data and analytics operations, governance, lean/ajile SDLC with solid links to data services and accelerators.

  • Operating Model: Repeatable process for data capture, analytic exploration and analytic deployment into the business
  • Governance Model: Process for the evaluation, prioritization and monitoring of analytic innovation
  • Agile Development Method focused on iterative development with highly collaborative teams
  • Reference Model: Comprehensive technical and data reference model
  • Accelerators: Data ingestion, real-time analytics, complex event processing and meta data tools.
  • Consolidated data capture and integration with underlying Data lakes, BIG Data based structured as well as unstructured along with streaming data pipelines, EDW, operational data stroes via data management threads using ETL, DQ, EBI, EPM
  • From ESOA stand point of view, Liberate data sets accessibility and publication per governance framework
  • As part of operations, Deployment of embedded business data analytics via EBI, EPM layers

eKriya envisions IOE BIG data projects mainly from the following perspectives- Descriptive, Diagnostic, Predictive, Prescriptive and Cognitive. Our experts ensure compliance with best practices and industry standards to establish BIG Data Lake for our client and help them in establishing big data to work with a combination of market-leading data integration, data management, and BI in a complete, high-performance analytics package. They help analyze and crunch massive volumes of data with superior performance and scalability. eKriya offers,

  • Rapid implementation / faster go to market
  • Governance, framework, enterprise architecture methodologies, data services, components, operating SLAs
  • Technology Agnostic – Implemented with a wide variety of technologies and Hadoop distributions
  • Phased / incremental adoption per road map with room for future evolution in terms of data storage
  • Enhanced flexibility around future scalability, interoperability and usability.
  • On premise, Cloud deployments and post deployment maintenance.

Strategic Capabilities for Global Markets

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In 21st Century, markets of all verticals globally, are transforming and adapting to daily complex changing needs. Advent of Internet of Things has opened up new online market avenues. Gap between demand from end consumers and supply from enterprises with products and services is experiencing widening imbalance, across world markets. When underlying business processes of an enterprise are reverse engineered / restructured and related SLAs are tightened to meet the emerging demands and new opportunities, balanced levels between supply and demand can be reestablished.
eKriya‘s teams of domain experts, program managers, solution architects, developers, top notch technical consultants use best practices, with deep industry and sector’s line of business specific expertise, empowering the clients move towards Digital Transformation, across the industry verticals, globally.
eKriya‘s systems integration design development services help clients enhance value of processes and drive the transformation to next levels.
eKriya‘s talented professionals help clients design, develop and integrate the systems and applications that best run their business. As an end-to-end IT services provider, our consultants offer deep domain specific expertise in all facets of clients’ business and technology environments, enabling us consult, implement and manage solutions.
eKriya‘s techno-functional services are complemented by best-fit global delivery models per client needs to provide the required combination of value and expertise.

Through our associates’ decades of experience in bringing together and optimizing systems and applications, eKriya provides specialized solutions expertise in the following practice areas and services such as,

  • Enterprise Performance Management servicesEnterprise Business Data Analysis services, Enterprise SMO/PMO Mgmt. Consulting services, Business Intelligence services – helping organizations harness the power of big data and customer analytics to drive business value.
  • End to End Data Management services – ensuring data availability, the efficient response to end user requests, and the adaptation to a constantly growing infrastructure,
  • Clinical Research Operations– full-fledged Functional Services ProviderClinical Trials data management systems for healthcare, life sciences, Pharma, Biotech sectors,
  • Enterprise Application Integration services – providing effective integration of applications to support business processes and achieve business results,
  • Enterprise Architecture services – orchestrating and aligning people, processes and technology infrastructures to improve the performance of an enterprise’s architecture functions,
  • Enterprise Content Management services– making pertinent data more accessible across the enterprise to improve performance and productivity and to reduce cost and risk,
  • Enterprise Resource Planning services– helping clients get the most from their ERP investments such as Oracle and SAP,
  • Geo-spatial services, Information Security services – implementing proactive, business-aligned enterprise security strategies that improve risk management, productivity, data integrity and compliance,
  • SMART IOE, IOT, Data Science, ML, M2M, M2p, P2P, BIG Data, Social Mobile Analytical Cloud Computing – increasing productivity, improving service access and building customer loyalty through enterprise mobility solutions.

Please visit the link eKriya’s capabilities:

Capabilities: eKriya‘s Sources supports customers’ business and IT units with a mix of staffing and human resources functions as collateral services. eKriya‘s enterprise level capabilities broadly encompass the following business and IT services & practice areas.

  • Strategic Business & Technology Management Consulting, Business Case studies, Assessment Services |
  • Programs, Portfolios, Projects [PMO] Management Services |
  • Business Analysis, Processes Reverse Engg., Requirements, Communication & Change Management Services |
  • 3rd party Vendors, Products, Staffing & Resources Management Services |
  • Enterprise Information Systems Analysis, Architecture, Design & Engineering Services |
  • Applications Design, Development, Deployment & Maintenance [Desktop /  Web / Mobile] Services |
  • SMART IOE, IOT, BIG Data Science, ML, M2M, M2p, P2P, BIG Data, Social Mobile Analytical Cloud Computing, Relational database, OLAP, OLTP , Data warehouse, marts, cubes – Design, Dev., Administration & Maintenance
  • Functional & Technical Quality Analysis & Testing Services|
  • Database Development, Administration & Maintenance Services |
  • Business Intelligence & data warehouse Management Services |
  • Exec. Reporting, Balanced Scorecards, Dashboards, Statistical Analysis Services |
  • Managed IT Applications [On-premise / Remote / Cloud] Services |
  • Legacy Migration, Modernization & Sustainability Services.
Contact Us!!

Please feel free to email us. Support: shores@ekriya.us | Sales: sales@ekriya.us

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