Master Data Management

To provide any value from the data, it should reliable and consistent across organization. Data governance and master data management is the most critical component of improving data quality, managing risk, measuring accurately, and often maintaining compliance with government regulations. Big data brings some interesting challenges in data quality and changes to some of the traditional assumptions of master data. Integration points between MDM and big data include ingesting and analyzing unstructured data, creating master data entities, loading new profile information into the MDM system, sharing master data records or entities with the big data platform as the basis for big data analysis, and reusing the MDM matching capabilities in the big data platform such as customer matching or product usage statistics. Together big data and MDM can help extract insight from the increasing volume, velocity, variety, and decreasing veracity of data, in context, beyond what was previously possible.

insygnum's approach to master data management is by incorporating a vertical business data capture process cross referenced with organization's traditional perspective of master data with respect to customer, product etc.,. Since master data stresses quality and control aspect to the management and usage of data with clearly defined measures for both on-premise and cloud based solutions, it is insygnum's core competency with respect to a structured data modeling in an agile delivery framework

In collaboration with client teams that typically include executive leaders, department heads and IT stakeholders to act in the roles of data owners and data stewards, Insygnum management consultants determines a strategy to improve how organizations manage and control their information. A solution delivery approach to address data quality gaps include data architecture and technical integration recommendations along with organizational data steward recommendations that needs to be addressed with business restructuring, acquisitions and mergers.

Enterprise Data Architecture

Enterprise data architecture is an organizations' treasure map that effectively aligns business strategy and business process to data assets. With this exponential growth of data and increased varierty in data types, it is vital for the organization to ensure that the data is accurate, timely, complete, secure and readily available. Organization's established data architecture and management enables better business decision making through analytics and reporting, complaincy and support government regulations; improved data quality; improved productivity and operational efficiency; and agile information system delivery.

In collaboration with client teams that typically include executive leaders, department heads and IT stakeholders to act in the roles of data owners and data stewards, Insygnum data architects determines a strategy to improve how organizations govern, manage and control their data assests, data movement and information delivery. A solution delivery approach to address data quality gaps include data architecture and technical integration recommendations along with organizational data steward recommendations that needs to be addressed with business restructuring, acquisitions and mergers.

insygnum's approach to data architecture and master data managment is a holistic approach by incorporating a vertical business data capture process cross referenced with organization's traditional perspective of master data with respect to customer, product etc.,. Since data management and architecture stresses quality and control aspect to the management and usage of data with clearly defined measures for both on-premise and cloud based solutions, it is insygnum's core competency with respect to a structured data modeling in an agile delivery framework.

Data Integration

Data Integration can never be more complex than today with several data types like structured, un-structured and Big data changing significantly due to businesss growth, innovation, mergeres and acquisitions. Technological advances with on-premise and cloud based applications to support business processes has made data integration even more challenging with need for near real time application integration. Further technology advancements like MapReduce data integation is helping organizations to bring efficiencies in IT operational cost and data latency. Cloud , On-premise or Hybrid data integration tools/ techniques are helping IT teams improve effeciencies in their cost and operational management.

Insygnum integration specialists are experienced in enterprise data and application integration solutions whether it is on-premise or hosted cloud or a hybrid data integation solution. Insygnum specialists give a holistic view in their solution offering and services to provide a scalable, flexible and cost effective information integration solutions.

Our framework provides a practitioners approach to collect and integrate the data into its restful or event state with proven methods and repeatable processes that are cost effective while mitigating risks associated with data and the projects.

Our agile delivery methodology will prioritize develivery schedule of social analytics to organizations strategic objectives in a defined roadmap through effective scope and resource management. Our high qualified and experienced consultants are affordable to save your budget line. Our blended resource delivery model will yield better return on your investment than the traditional model.