Scalability Engineers | Data Visualization

What features you get

Scalability Engineers's data visualization experts utilize a variety of tools to ensure your data is represented in a clear, concise, and consistent manner, thus allowing your organization to leverage it in a way that’s most beneficial.


We have implemented an in-house solution to predict/forecast possible fraudulent cardholder activities using SSIS. This has helped the client to summarize continuously evolving fraud trends and define guidelines for product management to mitigate fraud.


Client was using third party platform for Compliance monitoring and found it inadequate to achieve different regulatory obligations and hence decided to implement an in-house solution.


Developed SSRS data-driven and sub-reports for finance team. This process automation led to reduced time, efforts and eliminated errors.


We have provided Intuitive and Customizable BI Dashboards and reports with charts and graphics which helped Finance and operations team to gain deeper insights.


We design interactive parameterized, cascaded parameterized, tabbed, sub reports, drill down and drill through using SSRS.


Created various strategic dashboards for Finance domain (Card processing company) to understand performance metrices and make data driven decisions promptly. For instance, Card Activity detail, Gross profit detail, Cards registrations, Accounts activity, Successful Transactions etc.

Our Visual Analysis Portfolio


  • Filtering to focus on items of interest

  • Sorting Data

  • Ranking the sorted data and prioritize

  • Grouping & Aggregating to summarize

  • Creating on-the-fly Calculations to express numbers in useful ways


  • Visual analysis means presenting information in ways that support visual thinking.

  • Data is displayed using the best practices of information visualization.

  • A story unfolds as you navigate from one visual summary into another.

Dashboard Services

Dashboard is collection of logically related reports of one entity in one single container. Many a times we have separate reports of one entity such as country. We have country wise average sales reports, then country-wise and product-wise total sales report, then top 5 customers of each state within that country and so on. We can combine these reports into one container and when the country is changed from a drop-down list box then the corresponding all reports gets refreshed accordingly.

Examples of Dashboards

Our Reporting Services


Details report

→ It shows all the records of the table/view/sheet/file with proper format.


Summary output

→ Can aggregate values as per different groups and display pure summary records.


Pivot output

→ Powerful mechanism of displaying summaries for combination of each row & column label.


Filter report

→ we can filter records based on a business condition which is same as that of a where clause of SQL statement. Text search functionalities are also included in it. Calendars, lenses are also added for fine tuning the search. Top-N/Bottom-N analysis can also done effectively.


Records with derived columns

→ There can be numeric or string expressions as additional columns along with regular columns. Every reporting tool provides a function library for creating the expressions. Particularly date functions, financial functions, ranking functions are quite frequently getting used.


Detail records with summary at the bottom

→ It shows all the records of the table/view/sheet/file and at the end shows totals, highest, lowest, average values.


Records with Conditional formatting

→ To display different categories of records based on some business condition like sales about 1 million shown in different color.


Details + Summary output

→ We can combine actual records and summaries together. Particularly suitable for showing sub totals along with actual records.


Drill down reports

→ Suitable for hiding lower level records or summaries, as and when required can drill down. We can establish a hierarchy.


Parameterized reports

→ We can take one or multiple values from the user run time and display records as per the value (s) provided.


Map view

→ We can display the geographic data on the map by plotting summary values as per the country, state, city, area, pin code, etc.


Master-Detail Report

→ A typical RDBMS implementation of parent-child relationship can be depicted in the report by showing parent record as a header and its child records as the details.


Infographic reports

→ An infographic (information graphic) display the text into graphics. Common examples are traffic signs, subway maps, tag clouds, musical scores and weather charts.


Heat maps

→ Heat maps use color to communicate relationships between data values that would be would be much harder to understand if presented numerically in a spreadsheet.


Cascading parameters reports

→ We can establish relationship between multiple parameter lists and depending on the selection of value from one parameter list the next parameter list will get populated. For e.g. when India is selected from Country list then the next list should get states of India only.


Web based reports

→ We can create a local standalone report and then deploy it on the Report Server. Due to this any business user can see that report through web browser. Of course proper privileges have to be given to those users by the Report Administrator.


Rendering reports

→ We can convert the report into other formats such as pdf, excel, word, html, text, xml, etc.



→ Combining logically related reports in one container.


Graphical reports

→ Data can be shown in different types of charts such as column, bar, line, pie, area, etc.


Sorting records

→ It can be done design time or interactive sorting.Deign time means done by developer. Interactive sorting means user will run time sort the records in ascending or descending manner.


Drill through reports

→ From one report we can navigate to another report & based on the value selected in the first report the records of that value will be shown in the next navigated report.

Our Data Visualization Process in a Nut Shell

Text/csv files

Excel files

RDBMS such as SQL Server, Oracle, DB2, etc.

XML files

OLAP applications such as SSAS, Oracle Essbase, etc.


Big data, Hadoop applications

ERP applications such as SAP, Oracle Apps, etc.

Unstructured data formats such as JSON files


Laying out columns (dimensions, measures & hierarchies) in the presentation area.


Creating derived columns

Filtering data

Creating parameters

Adding visual effects with graphs, maps, heat maps, etc.