Decision Support

The world of big data is all about making decisions. These decisions need to be better, smarter, and faster than those of competitors to stay ahead of the game. Agile Intelligence methodologies using Infinit.e puts big data tools into the hands of decision makers so they can get the right information on time and on demand.

The business challenge

• Making informed decisions: Data is only useful if it makes your organization more effective. To do this you need to put relevant data in the hands of decision makers by reducing the barriers to receiving and interpreting data.

• Making decisions faster: Too much information can lead to paralysis that your organization cannot afford. You need to make decisions as issues arise or, even better, before they occur.

• Communicating analysis: Once decisions are made, you need to capture the reasons for future analysis and communicate these reasons to your organization. These steps improve organizational learning and establish buy-in at all levels.

Industry scenarios

• Complex event response: Whether responding to a natural disaster or a breakdown in the supply chain, decision makers need the ability to quickly understand the impact on interconnected systems in order to formulate a response. Associations between affected entities and systems can allow response coordinators to forecast areas in need of intervention or assistance.

• Process improvement: Understanding the activities of an organization are vastly improved when unstructured information is included in retrospective analysis. Traditional business intelligence approaches work great for structured data, but this is an increasingly smaller portion of relevant information. Unstructured data needs to be included to accurately assess progress and change.

• Financial investments: Business managers use financial data to make better decisions by exploring patterns of associations in the data. These techniques allow them to discover trends and key performance indicators, accurately predicting events that may impact market behavior.

IKANOW can help

• Relevant content: Entity profiles enable Agile Intelligence professionals to discern relevant documents, separating the wheat from the chaff. These documents can then be analyzed across multiple dimensions to ensure decisions are made based on the correct information.

• Event mapping: Ikanow’s natural language processing tools can extract events from unstructured and structured data. These events can be displayed both chronologically and geographically to track and understand the interrelationship between events.

• Complex query support: By embracing a unified data format, users of Agile Intelligence methodologies can query data from multiple sources across multiple dimensions. The query builder offers a visual tool to help quickly bound results by time, date, entity, keyword, or any combination of parameters required.