Services Big Data

Big Data describes the large volume of data that is being captured in a structured and unstructured manner. A large amount of data is not critical, the rather critical part is how organizations are using this data.

There are challenges to managing such a huge volume of data such as capture, store, data analysis, data transfer, data sharing, etc. Big Data follows the 3 Vs model as “High Volume”, “High Velocity” and “High Variety”.

Our objective is to guide an organization to successfully execute a data strategy. It contains years of experience of Sutra Management and its team in helping numerous organizations in successfully executing data strategies to transform their business and generate shareholders value.

WE HELP WITH ROAD MAP

  • 1 Define the data journey in the form of roadmap
  • 2 Define interim milestones
  • 3 Define the complexity of the data architecture with passing time

WE HELP WITH TECHNOLOGY MAP

  • 1 Define the requirements in terms of technology and data platform
  • 2 Define analytical platform for generation of business insights
  • 3 Define BI platform for insight generation and visualization

BIG DATA STRATEGY

Assessing the current situation

  • Analyze the data gaps
  • Identify what are the questions organization is unable to currently answer
  • Identify the data sources
  • Identify the data storage services : data warehouse, data lakes, data marts …
  • Functional & Technical Specifications for BI

Clean the data

  • Identify the relevant data – core data, peripheral data and external data
  • Run data quality checks
  • Generate data quality reports and recommendation
  • Perform data transformation
  • Perform reconciliation
  • Perform data cleansing and standardizations
  • Perform master data management for customers, products,…

Identify KPIs

  • Identify the metrics that are most important for organization to improve its strategies
  • Map the KPIs to the back end data
  • Look for industry KPIs for benchmarking
  • Define the company specific KPIs

Develop data dictionary

  • Map the business process to the data flow
  • Create a definition for the business terms
  • Design the data dictionary to be business intuitive
  • Document data dictionary and metadata
  • Develop and implement the data dictionary
  • Maintain the data dictionary

Operational dashboards

  • Identify the audience of the dashboard
  • Map the functionalities to the KPIs of the department/role
  • Create the story line or message to be delivered from the dashboard
  • Set the drill downs and slice and dice
  • Design the dashboard graphics
  • Implement the dashboard

Cross functional dashboard

  • Identify the inter-department interactions
  • Locate the data sources
  • Create a cross department data mart
  • Create the story line or message to be delivered from the dashboard
  • Set the drill downs and slice and dice
  • Design the dashboard graphics
  • Implement the dashboard

Predictive analytics

  • Define the business use case
  • Design the framework
  • De-normalize the data
  • Build the predictive model – time series, forecasting, decision tree…
  • Operationalize the model for real time or near real time prediction