Data Governance & Management

Data complexity has increased enormously with the advancement of technology, Internet and connectivity of mobile devices. Organizations find it challenging to find varied ways of data management. This is where Data Management / Data Governance comes into picture first. People, Policies, Processes, Change Management, Program Management, and Org Alignment are essential facets of Data Governance. One facet that is critical for successful implementation of Data Governance is to have a common Data Platform for Tools & Architecture across organization for Holistic Data Governance.

DataSecure has expertise and competences to offer Data Governance. Two notable data platforms that cover governance to any scale - big or small are widely in use. Based on The DataSecure’s experience from several implementations, a solid Data Management Practice has to be in place before picking up a specific technology to solve the business problem. Right from Open Source Platform like Talend to market popular tools and frameworks like Informatics can help institutionalize governance structure.

Business Processes that Enable Data Governance

Key benefits

  • Improve data quickly in less time
  • Deploy, Monitor and Control Data Quality processes from single location
  • Apply processes across all systems – CRM, ERP and transactional data enterprise wide
DATA SOLUTIONS

In today's world, enterprises find it crucial to make effective business decisions in shorter duration. Enterprises are struggling to achieve better productivity due to poor data quality and unstructured information. This facilitates poor decision making and hampers business process. To overcome these problems, enterprises need to structure their data, improve technology and business process. The DataSecure delivers end-to-end data capability solutions to achieve high quality results and good Return on Investment (ROI) with less cost and risk involved.

We believe in accomplishing the customer expectations by providing comprehensive solutions that combine powerful data, analytics and technology. We help CMOs and Sales Leaders make informed business decisions and improve ROI by intelligently connecting the right people to the right products at the right time.

Data Management

Enterprises find it vital to manage data nowadays for competitive benefit. An enterprise can't start leveraging data, until it can learn how to manage its data assets. This is where we help you to analyze and deploy data management solutions to your business. DataSecure experts deliver data management solutions that control, protect and enhance the value of data and information assets inside an enterprise. DataSecure possess industry's best practices, tools and architecture from its implementation experience to offer competitive data management practices.

Based on customer needs & preferences, Datasecure can collaborate at various levels on information management providing technical expertise in building services & market specific solutions.

Business Challenges

The clients have faced tremendous challenges in managing the data. Some of the crucial challenges are listed below:

  • Non-integrated data
  • Data available in discrete forms, versions and locations
  • Extremely dispersed, fragmented and extensive data
  • Usage of disparate sources to generate data
  • Lack of data quality and security
  • Difficult to search the right amount of data at the right time

What Digital Group Provides

Our data management offering includes numerous services, which are as follows:

Solution Approach

DataSecure’s solutions aims for customer satisfaction. We emphasize on prototyping and testing the business viability of the models being proposed. Our solution is based on NPD - NEW PRODUCT DEVELOPMENT process. Besides, idea generation and idea screening, we also perform idea development and testing using DataSecure's rapid Software Development Practice Principles. A completely working system within first 10 weeks can be achieved by a closely collaborated exercise between the customer and DataSecure

Solution Approach at DataSecure:

Key Benefits

  • DataSecure can provide market ready solutions quickly on Industries best data platforms.
  • Lower Total Cost of Ownership with minimum operational ongoing costs.
  • Unlock significant value by making information transparent
  • Sophisticated analytics can substantially improve decision-making, minimize risks and unearth valuable insight that would otherwise remain hidden
  • Increased success factor by choosing the right approach or model

Key Strengths

Tools and Technology

Datasecure's experience spans across multitude of technologies and platforms in the data management realm. DataSecure has proficiency in many popular open source databases and advanced data platforms. We operate desired tools and technologies to offer open architecture solutions right from organizing the data with best governance practices to storing, processing, integrating and cleansing data to final consumption, we have the latest tools and platform capability.

DATA ARCHITECTURE

Data can be stored, acquired, processed and analyzed in many different forms. Every data has different characteristics like frequency, volume, velocity, veracity and type. When data is stored and processed, additional dimensions come into play. A proper data architecture makes sure that the data is handled appropriately when it is stored, acquired and processed. Data Architecture at DataSecure involves following steps:

  • Define a logical architecture of the layers and components of data solution
  • Understand the atomic patterns
  • Understand composite (or mixed ) patterns for data solution
  • Choose a solution pattern
  • Select the right product to implement
  • Data Strategy, outlining business aims and objectives for improved collection and use of data
  • Integration, data warehousing and reporting

Conceptual Model at The Digital Group

Key benefits

  • Accelerated Data Warehouse projects with pre-tested configurations
  • Reduced planning and setup cost
  • Increased success factor by choosing the right model or configuration
  • Reduced future support costs by limiting solution re-architect effort
DATA QUALITY

Data with poor quality is inappropriate for operations, decision making and planning. DataSecure comprehends that the state of completeness, validity, consistency, timeliness and accuracy makes data appropriate for use. To achieve this level of conformity, data quality processes and the right technology needs to be implemented. DataSecure follows some common methods to improve data quality. They are as follows:

  • Data Quality Analysis – Statistical Profiling, analysis of text and numeric fields, validation against standard patterns - email address syntax, credit card number formats or custom patterns
  • Data Standardization
  • Data Cleansing
  • Data De-duplication
  • Data Enrichment

Data Quality Dimensions

What DataSecure Provides

Our Data Management offering includes numerous services, which are as follows:

  • Data Governance
  • Data Security
  • Reference and Master Data Management
  • Meta Data Management
  • Record Data Management
  • Data Architecture – Analysis and Design
  • Data Quality Management
  • Data Cleansing
  • Data Integrity
  • Data enrichment
  • Data quality
  • Data quality assurance
  • Data Warehousing and Business Intelligence Management
  • Business Intelligence
  • Data Mart
  • Data Mining
  • Data Movement | ETL

Data Analytics & Business Intelligence

Today the enormous amount of data is exploding in volume, velocity and diversity. The enterprises find it impossible to control this diverse data. The Datasecure has adopted Big Data Analytics and BI solution, in order to efficiently utilize the data. Business Intelligence (BI) is an end-to-end practice followed by the DataSecure experts, in which data is analyzed and information is presented to the Business Managers or Executives to make effective decisions related to business procedures. Thus, the ability to extract the data with the help of BI tools is substantial to make effective business-related decisions.

What Digital Group Provides

The DataSecure provides massive services to clients to achieve impeccable Data Analytics and BI solution. The services provided by Digital Group are listed below:

Data Integration and Data Warehousing

  • BI Readiness assessment
  • BI Roadmap planning
  • Tools and Technology evaluation and recommendation
  • BI optimization services

Reporting and Analytics

  • Data warehouse architecture
  • Data Integration Architrave
  • Reporting, Dashboard, Analytics architecture

Dashboards and Scorecards

  • Relational/ Dimensional Data model
  • Integration of DW with OLTP systems
  • DW/Data Mart/Reporting/Analytics design and development

Big Data Consulting

Enterprises are flooded with information that comes from heterogeneous sources. Integration of this information is crucial for all the enterprises. Hence, The Digital Group experts ensure that the enterprises are provided with excellent big data solutions. We at T/DG are focused on helping our clients to reach highest information maturity level to get more business insights. In order to speed up organizational growth, The Digital Group professionals transform the big data enterprises into data driven enterprises with systematic and time bound processes.

What Digital Group provides

Approaching to a big data initiatives is a serious activity in any organization. We at DataSecure concentrate on specific problems during our client's journey towards big data empowerment.

  • Help Organizations in achieving their objectives towards Big Data empowerment
  • Analyze their existing landscape and identify additional insights that could enhance business growth
  • Enhance organizational productivity with Big Data solution through different maturity levels and upskill the team proficiency along with it.
  • Complement Organizations with proficient and cost-effective solutions for information consolidation, storage and analysis using Big Data
  • Provide Consulting, Training and Managed Services to customers for specific problems related to Big Data management