Successful modern businesses are built on a solid foundation of meaningful information. Without critical insights that guide decision makers and help them identify valuable opportunities and address looming challenges, even the most capable organizations will soon fall into disarray. It is not enough to possess vast quantities of transaction records or financial data; these data must be organized, summarized, and interpreted appropriately before they will yield intelligible answers. BI & Analytics technologies automatically summarize and present mission-critical business information, performance measures, and financial forecasts, and are an indispensable competitive advantage over companies that have yet to adopt these predictive technologies.

Retail AnalyticsBe the first to connect the dots. Forward-looking technologies for true trend-setters.

Cloud technologies have simplified and sped up solution deployment, reduced costs, and allowed users to use applications and access their information when and how they want. Retail Analytics, TechVista’s cloud-based engine for Analytics & BI, lets our customers carry high-performance reporting and analysis tools with them wherever they go. From virtually any device, they can view real-time dashboards and forecasting information on sales, supply chain, and financials for their entire organization, or drill down to specific aspects of their operation for a closer look at the details. Thanks to its cloud-based design, Retail Analytics is quick to set up, and offers scalability and excellent value as a monthly per-user subscription. Best of all, unlike on-premises application servers, it does not require any CAPEX for new hardware or software or OPEX for maintenance and support.

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Technology stack for information analysis and risk mitigation:

Oracle Business Intelligence
SAP BusinessObjects
Tableau Software
Microsoft SQL Server Reporting Services

EXTRACT, TRANSFORM, LOADData architecture enhancements that support accurate analytics and improve margins

To ensure that analytics solutions generate accurate reports and forecasts, it is essential that the data they receive are accurate and well-formed. TechVista is a proud Informatica partner, and has provided data architecture consulting, design, and implementation services to its clients for over twenty years. Our extract/transform/load (ETL) specialists assist you in achieving your data management objectives and forward-looking analytics requirements, and apply cutting-edge application integration techniques to produce a modern and efficient data architecture.

With poorly designed BI target databases populated with inaccurate data, even the most sophisticated OLAP tools will fail to deliver positive results. As an Informatica partner, TechVista has provided its clients with consultancy and implementation services for two decades. Our ETL experts help you accomplish your data management goals, modernize your data architecture, and fulfill advanced analytics and application integration requirements. Here are just a few reasons why TechVista is your ideal ETL solution partner:

  • Informatica partner and authorized reseller
  • Providing services to Informatica clients since 2008
  • Skilled in sizing, installing and configuring Informatica Servers
  • Ongoing maintenance and support services for Informatica ETL
  • Experience working with various systems like Netezza,
    Oracle, Social Media, SQL Server, Teradata, and File Objects
  • Successfully delivered various ETL implementation projects
  • Technical expertise around ETL Architecture, Data Quality,
    Data Cleansing, Change Data Capture (CDC),
    Master Data Management (MDM) and Data Security

MASTER DATA MANAGEMENTOptimize master data to improve data accuracy and control costs

Critical business objects, including people, places, things, and concepts, constitute an organization’s master data. These master data are arranged in groups and sub-groups known as entity types. By synchronizing and consolidating similar entity types across different information systems using a robust Master Data Management (MDM) strategy, businesses can reduce support and maintenance costs, avoid inconsistency, inaccuracy, and duplicate data, and improve their ability to transmit and receive data using a common vocabulary that does not cause confusion or require ad hoc translation between information platforms. A solid MDM strategy saves time and streamlines your enterprise data infrastructure.


Our Clients

Retail Analytics
Best Practices and Standards for Interoperability and Quality Control
    The Open Group Architecture Forum

    A framework that provides guidelines for the design, planning, implementation, and governance of enterprise-level information technology architecture.

    Universal Data Element Framework

    An enterprise-level framework that promotes semantic interoperability across organizations and recommends information indexing standards.

    GS1 Global Product Classification

    A hierarchy of standards that provides companies around the world with a consistent taxonomy they can use to classify and categorize products.

    International Organization for Standardization (ISO)

    The primary global organization responsible for the promotion of various proprietary, industrial, and commercial standards.