Organizations have always faced the challenge of drawing meaningful conclusions and lessons from operations data and applying that knowledge toward making better decisions in the future. As more data is now generated than ever before, business leaders now have an unprecedented opportunity to draw intelligent insights.
- Data Integration: Assess, extract, transform and standardize disparate data sets from multiple source systems based on business rules into a unified data analytics repository.
- Data Virtualization: Leverage tools such as Denodo to virtualize data from disparate sources and serve it up to stakeholders with the capability to run self-serve business intelligence reports against the integrated data.
- Data Quality: Assign rules of precedence and data quality index to data elements extracted from multiple sources to qualify the analysis results.
- Data Visualization Dashboards: Offer intuitive, interactive, and visual dashboards that allow exploratory data analysis. Users can dive into the data to identify patterns and discover trends in tools such as Kibana and Tableau.
- Skilled Workforce: Skilled team experienced in understanding different types of data and applying the right data analytics tools and approaches to extract the most relevant information to develop actionable insights.
- Intelligent Solution: Transform data into meaningful information usable as a strategic decision-making asset. We apply the right solution depending on client need – by implementing it in a COTS product, such as SAS Visual Analytics, Tableau or in iAssetAware, our own asset management cloud-based solution with data analysis features.
- Effectiveness: Our solutions leverage exploratory data analysis to sift through structured and unstructured data to identify patterns, trends, and correlations.
- Reduced Cost: Optimal balance between features and price when implementing data analytics capabilities for an organization, leveraging powerful open source data analytics software when possible.
