Deliver Better Decision Making with a Data Driven Culture

Data Management and AI Services Harness the Potential of Your Data to Ensure Maximum Return on Investment

Our technology and industry experience enables us to deliver best in class business solutions to help organizations achieve their business objectives quickly and cost effectively. We provide a full data management solution which consists of several key components, including data governance, master data management, data analytics, and data migration.

Here is a walk through of each component and how they work together:

  1. Data Governance: We can help you manage the availability, usability, integrity, and security of the data used in your organization. It involves establishing policies, standards, and procedures for data management, as well as defining roles and responsibilities for data stewardship. Effective data governance will ensure that your data is accurate, consistent, and trustworthy, which is essential for making informed decisions.
  2. Master Data Management: We can help you create and manage a single, authoritative source of master data that can be used across the organization. Master data refers to the core data elements that are shared across business units and systems, such as customer data, product data, and employee data. MDM will ensure that your master data is consistent and accurate in turn reducing errors and improving decision-making.
  3. Data & Analytics: It is crucial to analyze and interpret your data to gain insights and make informed decisions. It involves using tools and techniques such as statistical analysis, data mining, and machine learning to identify patterns and trends in data. With our D&A capabilities, we can help you improve our operational efficiency, optimize business processes, and gain a competitive edge.
  4. Data Migration: Irrespective of the source of the database, we can help you with complex data migration projects using our advanced tools & technology. This is one of most complex processes where many large projects fail and expertise in executing data migration is a must. It involves planning, testing, and executing the transfer of data to ensure that it is accurate, complete, and consistent.
 
We can help you implement a full-scale data management solution for data driven decision-making:
Azure synapse analytics

 

While defining the objectives, our consultants interview key stakeholders to collect their needs, goals, and vision for the successful project implementation. It helps understand their priorities and plan the development process. Evaluating the current data architecture and data sources is another key step in implementation of the platform. Based on the requirements and the data sources identified we will prepare the architecture of the platform followed by implementation. We provide flexible implementation and support model for our customers whether it is onsite/offshore/hybrid or dedicated/shared resources or based on support window.

The complexity and cost of implementation of the solution will vary based on the following factors:

  • Current state of data
  • The number of data sources, their types
  • Data volume and its structure
  • Data quality in the source systems
  • Data sensitivity
  • The complexity of required data analytics

 

Components We Cover

 
  • Data Lake 
    • store large amounts of data in its native format with easy access
    • analyze data from a wide range of sources, leading to more informed business decisions
    • accommodate the increasing volume and velocity of data you collect
  • Data Warehouse
    • access and analyze disparate data sources quickly and easily
    • enforce data quality standards to ensure accuracy and consistency of data analysis
    • reduce the risk of data silos and conflicting information by centralizing data
  • ETL Processes
    • automated, efficient data transformation and loading into the warehouse
    • streamline and standardize the data ingestion process
    • quickly and easily integrate new data sources
  • Data Visualization
    • capabilities to uncover insights from the data with interactive dashboards
    • make complex data sets more accessible and understandable
    • effectively communicate data-driven insights to stakeholders for informed decisions
  • Data Science
    • capabilities to build predictive models and gain actionable insights from the data
    • uncover new opportunities for growth and improvement
    • automate and optimize processes to increase efficiency and cost savings
  • Data Security
    • Robust protocols for secure access, storage, and sharing of sensitive data.
    • reduce the risk of data breaches and protect brand reputation
    • ensure business continuity even in the event of a data breach

Components We Cover

Data Lake

  • Store large amounts of data in its native format with easy access.
  • Analyze data from a wide range of sources, leading to more informed business decisions.
  • Accommodate the increasing volume and velocity of data you collect.

Data Warehouse

  • Access and analyze disparate data sources quickly and easily.
  • Enforce data quality standards to ensure accuracy and consistency of data analysis.
  • Reduce the risk of data silos and conflicting information by centralizing data.

ETL Processes

  • Automated, efficient data transformation and loading into the warehouse
  • Streamline and standardize the data ingestion process
  • Quickly and easily integrate new data sources

Data Visualization

  • Capabilities to uncover insights from the data with interactive dashboards.
  • Make complex data sets more accessible and understandable
  • Effectively communicate data-driven insights to stakeholders for informed decisions.

Data Science

  • Capabilities to build predictive models and gain actionable insights from the data.
  • Uncover new opportunities for growth and improvement.
  • Automate and optimize processes to increase efficiency and cost savings.

Data Security

  • Robust protocols for secure access, storage, and sharing of sensitive data.
  • Reduce the risk of data breaches and protect brand reputation.
  • Ensure business continuity even in the event of a data breach.
Azure synapse analytics

Find out how you can leverage the power of AI & analytics for your business. Talk to our expert.

Intertec Systems