Leverage Your Data

GAP helps you realize the opportunities presented by your data. We enable you to answer current questions, and prepare for future questions, by developing scalable application frameworks and solutions to leverage your data successfully and profitably. Read the processes that contribute to a successful data analytics project and ways to implement them in your own organization.

Data Science as a Service

GAP combines business acumen with top-notch expertise. We can provide your organization with a team of highly qualified data scientists and engineers who have expertise in:

• Artificial intelligence
• Data analytics
• Data science
• Information systems
• Machine learning
• Predictive modeling

Data Science Consulting and Transformation

GAP offers the ability to streamline development, increase productivity and assure confidence by implementing reliable processes that convert data into high-quality, current information for effective decisions.

• Integrate advanced analytics and ML frameworks (such as R, Python, Apache Spark, H20.ai, KNIME, SAS or MATLAB)
• Provide data analytics consulting and big data consulting results and other web services for downstream integration or mobile applications
• Data Translations Services – ETL
  • Data loading and analysis: in-memory (e.g. RDBMS, spreadsheets), in-database (e.g. Hadoop) or on-demand (e.g. event data streams)
  • Data Source Connections (e.g. Oracle, NoSQL, Hadoop, SAP Hana, cloud services)
• Data Warehouse Configuration
  • In-line and ad-hoc data wrangling functionality
• IoT device provisioning and data gathering

Data Visualization

Data visualization is the presentation of data in a graphical format that enables decision makers to grasp difficult concepts or identify new patterns.

GAP offers these data visualization services:

• UI and Application Interface. Ease-of use and an intuitive UI to navigate and manage large/complex data sets.
• Design visualizations for complex data sets including dashboards such as bar charts, pie charts, histogram, scatter plots, tree-maps, trellis charts, and many more.
• Geo-analytics to enable location-based analysis (e.g. spatial search, location-based clustering, distance and route calculation).

The importance of data and data analysis has become clear in the modern digital economy. Today, organizations across a range of industries implement analytics projects to glean insights, make informed decisions, optimize operational performance and maximize profit.