Services

Cloud Based BI

Cloud is next evolution in BI. BI is not restricted to fixed infrastructure. Nowadays...Read More

Dashboard

BI dashboard is a data visualization tool that displays the current status of metrics...Read More

Mashups

BI mashup can be a data mashup, charts mashup or maps mashup. Usually mashups are use...Read More

OLAP

On-Line Analytical Processing (OLAP) is a category of software technology that enable...Read More

Custom Plugins

If you have an all together different set of requirement, an entirely different workf...Read More

Mobile BI

Whether on the road, in a meeting, or at home instant access to business information ...Read More

Reporting

Today's businesses are changing at breakneck speed & a proper reporting tool/repo...Read More

Self Service BI

Self service BI is a facility that enables end users to become more independent, self...Read More

Data Modelling and ETL

Data modelling is a process used to define and analyze data requirements needed to su...Read More

Data Warehousing

Helical can consult, design and implement Data Warehouse either in Star schema or Sno...Read More

Geographical Charting

We can help you with geographical charting i.e. displaying your geographical data dis...Read More

Data Mining

Data mining is the automatic or semi-automatic analysis of large quantities of data t...Read More


An agile, efficient and much faster way of developing ETL jobs using advanced features like more control,visualization, reporting, plug & play modules, reusability etc.

Though there are many ETL tools available in the market, but using them also come with their own inherent problems, some of which are highlighted below,

Best Practices: Each and every developer does the ETL development according to his logic and his method of development; hence more often they forget to follow the best practices. These best practices are related to error handling, naming conventions, QA, QC etc.

Lack of standardization: Often not following the best practices on logging, error handling, naming conventions, documentation etc leads to lack of standardization between the different ETL jobs which have been developed amongst the different ETL developers.

Lack of control for end user: Generally in any ETL, an end user or IT administrator is often not able to see and monitor what exactly is happening. He has absolutely no control of the jobs, flags, status etc.,

…Read More