Data Integration

 COMBINING DATA FROM MULTIPLE SOURCES AND SHARING IT ACROSS SYSTEMS

  • DOES  MY BUSINESS NEED A DATA INTEGRATION?

Most companies use multiple software systems to store and collect information.

The problem is that most of these systems can't "talk" to each other and pass the data along, meaning the same data must be manually re-entered in multiple system (in the case of data entry), or, manually copied from multiple systems when the data needs to be retrieved (for example when generating a report).

Integration links systems and data so that manual duplication or retrieval from multiple systems is no longer nece.

 

BENEFITS OF INTEGRATING YOUR BUSINESS:

  • Eliminate re-entry of data in multiple systems.
  • No more checking multiple systems to view data.
  • Reduces data errors caused by manual entry and retrieval.
  • Reduce labor costs associated with manual entry.

 

CHOOSE THINQBOX

  • Over 20 years of Experience.
  • Our Experts seamlessly integrate themselves into your organization. They learn the inner workings of your company and develop a practical solution for your goals.
  • Transparent Processes, We keep you informed about your systems's health at all times.

 

Some of the data integration processes we implement include:

  • DTS (Data Transformation Services)
  • SSIS (SQL Server Integration Services)
  • COM (Component Object Model Technologies)
  • XML/Flat File/CSV
  • SQL Triggers and Functions
  • Dedicated Middleware Systems
  • Microsoft BizTalk® Server

 

Our DBA Experts are experienced with:

 

Custom Data Applications:

  • Custom data applications and programs.
  • Data integration.
  • Application Integration.
  • Data Warehouse and reporting solutions.
  • Custom Forms and data capture tools.

Data Set-up Services:

  • SQL server set-up and maintenance.
  • DQS (Data Quality Services).
  • Data Quality Client.
  • Data configuration.
  • Data maintenance, montoring and troubleshooting.

Data Analysis:

  • Slice & Dice & Drill down into your data.
  • Ad-Hoc queries.
  • Data transformation.
  • Data mining and modelling.
  • Data visualization.