Redefining enterprise data management by creating data supply chains,

is #Digitaligence at work!

IoT, AI, Machine Learning and Big Data have propelled technology to the cusp of another innovation transition. Internet-scale products and platforms consecutively must incorporate a deep learning into data engineering services to increase monetization capabilities of data across user segments.

Leaders in the Technology & Media industry are leveraging ITC Infotech’s technologies such as the real-time bit-stream analysis and metadata-driven analytics to drive customer success management, deep learning, rules engines for machine data, and supply chain economies.

ITC INFOTECH’S COMPREHENSIVE DATA ENGINEERING SOLUTIONS

BUSINESS CHALLENGES

Ingesting new types and higher volumes of data into existing systems might not yield optimum results. It is necessary for businesses to leverage reactive analytics and proactive customer interaction insights that drive competitive advantage and optimal returns.

Cost of data systems are continuously growing and businesses need to strike a balance via cost advantages of commodity hardware and open source software.

SOLUTION OVERVIEW

Our solution ensures implementation of data ingestion, management and analytics applications used to drive data-driven digital transformative products.

We leverage ZEAS – ITC Infotech’s propriety big data processing and analytics management tool, that quickly creates and distributes high-value analytics to data-hungry business units, partners and customers. Targeted analytics improve relationships, increase retention and generate net new revenue streams for products and business units. Key components of our ZEAS framework include comprehensive data governance across the ingestion, integration, transformation and analytics stages of processing software and device data.

  • Infrastructure and data pipeline set-up
  • Platform and architecture consulting
  • Testing, provisioning and automation
  • Security and governance services
  • Support and managed services

We also cater to specialized industry needs:

Data services

  • Includes data lakes, wrangling, governance and security along with machine learning, integration and API, visualization, back-up and recovery

HADOOP distribution

  • Includes Cloudera, Hortonworks, MapR, Amazon EMR and HDInsight

Data engineering — patterns and best practices

  • Develop data lakes, files, streams, databases and agile CI/CD
  • Help analyze and transform through operational metrics and change data management, while working seamlessly across technologies including Hive, Pig and Spark
  • Enable better governance through encryption, authorization, metadata management, lineage, audit trial balances, back-up and recovery
  • Accelerators include self-learning NLP engine, data plumbing framework and GUI-based data transformation toolkit

RESULTS

Our big data processing and analytics management solution framework, ZEAS, is built on open-source HADOOP and does not have a proprietary data store or language – offering an integrated tool to perform multiple functions

  • GUI-driven with minimal coding that requires only dragging and dropping to add new data sources that reduce query-time, easy visualization and drill down capability for devices
  • Invest once in big data processing to reuse multiple times, while simultaneously maintaining data security via client-side encryption using a custom key management
  • Data follows the process of extraction, loading and transformation (ELT), not extraction, transformation, loading (ETL) based on a schema-on-read approach
  • Self-service discovery and deep packet inspection in real time or near real-time by STORM, Hadoop 2.0, Elastic Store and Kafka-based solution
  • Deliver sub-minute response time to malicious IP addresses and deny service attacks
  • Advanced analytics using machine learning algorithms to predict customer propensity to buy purchase-specific products

RESOURCES

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#Digitaligence

71%

Time spent by users on mobile devices is on apps

$260.4 bn

Total Internet advertising revenue by 2020

$523 bn

The estimated net global online sales by 2020

Put #Digitaligence to work for you. Get in touch with us now!

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