Data Modeling Solutions

Turn technical jargon into business-friendly information using our Data Modeling Solutions

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Your data sources are your digital assets. All such sources are usually stored and managed by Information Technology (IT) resources and hence, such data sources contain many technical terms that make sense to IT, but not to business users.

Sharper Services provides an offering whereby such technical jargon is turned into business-friendly information.

IT calls it metadata, Sharper Software calls it the Data Model. We look at it as our data heaven.

Data Modeling Tasks

Simplify Technical Jargon

Rename and re-order columns in such a way that business users are able to pick the field they are looking for with relative ease. We may use column names that are in your local language to make it even easier to work with.

Hide meaningless columns

If a column does not have a business impact or meaning, we either do not import it into the Data Model, or we hide these columns. This improves the usability of the Data Model and eliminates ambiguities.

Data Enrichment

By adding computed columns to your tables, or by importing augmenting data, it is possible to enrich your Data Model and help you with further insights. For example, if your data includes airport names and codes, we can augment this data with the GPS location of the airport, which was not part of your original data. This enrichment would allow your users to visualize your metrics on a map view, where the airport's longitude and latitude appear.

Build Hierarchies

By building hierarchies of your data in the Data Model, we will enable you to view your metrics summarized on each level of the hierarchy. This also enabled drill-down features in tools like Power BI.

Adding Time Intelligence

Your data may have more than one date column, when in the real world, date and time and unique. Here, we add one or more hierarchical time intelligence into the Data Model. This enables you to analyze your metrics over a time span such as year, semester, quarter, month, week and day. If you'd like to analyze your metrics based on both Gregorian as well as Hijri calendars, we can help you achieve this.

Design Measures and Dimensions

Once all metadata is ready, we can develop measures and dimensions into a multidimensional analytical cube. This cube can then be sliced and diced to find the information the end user wishes to see.

Gallery

Sample Models

Column Renaming

Make the column friendly for business users

Data Enrichment

Adding the missing longitude and latitude data

Building Hierarchies

Year, Quarter, Month and Day hierarchy

Adding New Measures

Compute the reliability of an airline using DAX