Engaging Miracle’s Data Practice

Engaging with Miracle

From use case identification to solution implementation, Miracle is your partner of choice for getting the best value from your data.
The following is the engagement model that our team uses to deliver the best value to the customer,

Data and Analytics Implementation Services

Business Use Case

Business Use Case

Discover business valued use cases, design end-to-end solution to use cases

Landscape Assessment

Landscape Assessment

Landscape Assessment scope, and Analysis Evaluate tools and technologies for the solution



End-to-end implementation, planning, application design, and roadmap design

PoC and Pilot

PoC and Pilot

Proof-of-Concept Pilot implementation



Application/Dashboard Reports development, production, deployment, and performance tuning



24/7 maintenance software patches and releases administration, and content support

Our BI, Big Data and Analytics Services

      Miracle’s Advanced Analytics Framework (Cognitive, Predictive, and Sentiment Analytics)

  • Integrated Analytics solutions, providing real-time Predictive and Prescriptive Analytics for your business workloads
  • Solution Architecture
  • Project, ETL, and Analysis Services Health Checks
  • Industry/Domain specific KPIs, Dashboards, Scorecards, and Analytics
  • Advanced Analytics with Apache Spark and IBM Watson Cognitive and Machine Learning services on IBM Cloud platform
  • IBM Watson Machine Learning service on IBM Cloud platform, a self-learning predictive model for accurately predicting water requirement using a "Smarttank"
  • Utilize the IBM Watson Machine Learning for Inventory Management systems
  • Application to stream tweets to Apache Spark service in IBM Cloud using Apache Spark Scala shell
  • IBM Watson Tone Analyzer services
  • DataFrames for the streamed data using Apache Spark SQL, also for the streaming data

Business Intelligence and Analytics Services (IBM Cognos, MicroStrategy, SAP-BO,Tableau and Qlik)

  • Self Service BI methodology, implementation strategy, and training
  • Expertise in Power Pivot, Power View, Excel Services, PivotTables, and Report Builder
  • Descriptive and Diagnostic Analytics to provide the right metrics to drive business initiatives and make correct decisions

Machine Learning on
IBM Watson

  • Consume streaming IoT data, server log, and enable advanced analytics
  • Predictive Analysis with Watson Machine Learning using IBM SPSS
  • Inventory Management - Predictive model
  • Smart Meter use case implementation using Predictive model

Cloud Implementation

  • Cloud starter-kits to migrate your data/analytical applications to Cloud
  • Cloud Consulting services to assess and lay out strategies for Enterprise Cloud roadmap.
  • Data Migration to Cloud with AWS, IBM Cloud, and MS Azure
  • IBM Cloud - Lift/Data Connect services
  • Microsoft Azure Data Warehouse on Cloud - Data Factory services

Consulting in Big Data, Business Intelligence, and Data Management

  • Business Intelligence Strategic Roadmaps and Solution Portfolio definition
  • Data Governance Framework Implementations
  • Master Data Management Strategy and Implementation Programs
  • BigData Platform Solutions - Appliance and SaaS
  • Data Services, Business Intelligence, and Analytics Assessment & Roadmap

Full Data Warehouse Life-Cycle Implementations

  • Specialized in implementations of large and complex Data Warehouse
  • ETL, Data Warehouse, Cubes, Reports, Dashboards, and Security
  • Tried and tested framework to provide ETL Services
  • Expertise on ETL implementation based On-Premise/Cloud
  • Data Migration to Cloud/Big Data platform
  • Transform and aggregate SQL and NoSQL data with Hadoop as Data Lake

Data Management Solutions (Data Quality, Governance, and MDM)

  • Data Governance Definitions and Framework Implementation
  • Master Data Management and Application Master Data Integration
  • Data Cleansing and Matching Routines

      Big Data Solutions

  • Solution Architecture - Structured and Poly-Structured Data
  • Starter kits for Big Data platforms - Cloudera, HortonWorks, MapR, and BigInsight
  • Informatica Intelligent Data Lake Analytics Platform and Informatica Big Data Management tool/platform
  • Data Migration to Big Data Platform, existing/new Data to Hadoop using tools like Sqoop, etc.
  • Business Solution Template (BST) to integrate your disparate data onto Big Data Platform. Transform manage Structured/Unstructured data sets

For more information regarding Miracle’s Big Data and Analytics Offerings reach out to data@miraclesoft.com

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On Demand Webinar

Enterprise Big Data vs Smart Data - Differences, Approach and Use Cases