"Thanks ... the dashboard ... is certainly one of the brightest spots in my organization;"
Fortune 50 Consumer Products Company
Manage Key Laboratory Information and Operational Performance Data
Laboratory & Scientific Data Analytics
Laboratory and Scientific Data Analytics enables an organization to form its business data into usable and actionable information using a defined data asset management strategy. LabAnswer's Laboratory and Scientific Data Analytics Service gives users more immediate access to data and the ability to derive real intelligence from all of the data they collect. A typical laboratory informatics environment may have a LIMS, CDS, ELN, SDMS, a Clinical Trial Management System, NG Sequencing/Genomics, and any number of other ancillary systems. Each of these systems may have its own reporting tools. This service helps clients define and implement a strategy to enable a holistic view and consolidate reporting across all applications.
Business Insights from Monitoring and Reporting Tools
Once the business strategy is defined in the form of key performance metrics, analytical business intelligence can identify the source of an issue. Similar to a car's dashboard, gauges monitor the status of factors that users have predetermined are critical for a successful business strategy. The dashboard, or in some cases, a strategy map, scorecard or other reports, can immediately detect problems by transforming data into insight. Successful deployments include the ability to analyze, discover and draw actionable business conclusions or make modifications to operational behavior. These results can then drive operational initiatives to achieve the strategic goals. Business intelligence can also use predictive analysis to support the growth and development of business and research initiatives and provide general insights using data trends and patterns.
Unleashing the Data
In a typical informatics system implementation, users may define report requirements at the start of the project for a development team to create. Later, once the system is in use, users may see the need to analyze or report the data differently. The original development team may be unavailable or backlogged and unable to accommodate new report requests. In this case, the data may be trapped in the system and not providing full business value. A well-implemented business intelligence tool allows end-users with the proper permission to dynamically query and report on the data across systems without the need to have outside resources or departments create the reports for them. It promotes the ability to dynamically analyze data in ways that have not been pre-conceived in order to find unexpected patterns or outcomes. In short, it unlocks data that can possibly be used to further business interests.
LabAnswer's Experienced Implementation Services
LabAnswer can review your laboratory and scientific data requirements to select the proper tool and approach needed. Initially a review is made of user or functional requirements. All data sources are assessed in the user’s environment and data sources are mapped to common laboratory and scientific terms or concepts. A middle-layer mapping is generated and used to create dashboards with example views and reports. Services also include the training of users for maximum acceptance and effectiveness.
We will help you select the correct tool based on criteria such as ease of use, reporting power, functionality, and compatibility with enterprise architecture. We have the resources to create a ‘standard’ solution for this either from a tool standpoint or from a data model standpoint. LabAnswer's deep technical knowledge of reporting concepts such as data warehousing, data mining, scientific data management, and report creation are a key factor in a successful project. Our experience implementing similar systems for other laboratories gives us extensive knowledge of the data models of laboratory and scientific systems and ensures the maximum return on your investment.