Information Visualization: Executive Dashboards and Scorecards
Data-driven organizations fully realize that analytics provides a powerful competitive advantage. Nevertheless, today's modern businesses are faced with significantly growing and often self-service demands for sophisticated access to a multitude of distributed and disparate data sources, from users at all levels of the organization. This reality is making foundational business intelligence (BI) projects ever more complex, costly and prone to failure.
Moreover, data sets are increasingly dumped into shared repositories with little or no governance. The result is a state of disorder and confusion often turning data lakes into data swamps and even data graveyards.
Enterprise data visualization analyzes relevant data and presents insightful information to decision makers, usually in the form of dashboards and scorecards. And leading organizations realize that the ability to obtain this information in real time is crucial to sustaining their competitive advantage.
- Is your organization's process of creating and maintaining executive dashboards and scorecards integrated and automated?
- Can any new business requirement or priority change be easily integrated into dashboards and scorecards without new development projects?
- Are the costs, quality and agility of the business analytics process acceptable?
- Are the traceability and auditability of delivered information guaranteed?
- Can variations in raw data be reflected in dashboards in near real-time?
- Is your organization's entire data ecosystem totally and seamlessly covered?
Despite significant on-premise and cloud IT investments, most organizations have not been able to reach a high degree of business analytics process performance and maturity.
Our solution is an advanced continuous data integration and virtualization system that fully automates the conversion of disparate raw data into generic open analytical structures ready for information visualization and/or data science. This foundational business analytics system can plug into ALL your structured, semi-structured and unstructured data sources on one end, and produce the multidimensional analytical structures you need on the other end without any programming efforts. No data warehouse or data mart to build, no ETL development and no data lake or lakehouse coding work required. And you can continue to simultaneously use Excel and/or any other OLAP visualization tool you might have already invested in.
BI project efforts are reduced by up to 90% using our unified and automated
Business Analytics solution covering structured, unstructured and big data sources
Our agile, integrated, cloud-enabled and open data architecture solution delivers orders of magnitude higher and faster ROI at less than one third the total cost of ownership (TCO) of any traditional Business Intelligence (BI) solution!
You save time and costs associated with data warehouse modeling, design and development, ETL licenses, ETL and data lake programming, multidimensional and hypercube modeling, design and development. You also save the costs of maintaining interoperability between different solution components over time, as well as the recurring costs of inevitable future changes that will no longer require BI specialists. Furthermore, you expose your company to less risk that can result from increased BI project complexity and possible lack of adequate staff expertise.
BrightQuadrant can easily automate a new or existing BI development process, helping you repeatedly, quickly and efficiently obtain executive dashboards and scorecards for your organization, covering all time horizons and in just hours instead of months!