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We aggregate data so you can spread out and conquer.

testimonial-blackbaud.gif"ProActive partnered with the Blackbaud Team to propel to the next level of integrating data between Blackbaud and outside data sources. ProActive integrated with us, resulting in a 5x performance improvement and a very rewarding experience."
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Data Management

ProActive Data ManagementOften companies will have data spread across multiple databases, files and servers. Despite being in disparate systems, many times the business would reap huge benefits if this data was visible from a central location or dashboard. ProActive has a proven methodology to solve this issue by working with you to define your data needs, determining the feasibility of collecting this data, and then using this information to create an intelligent centralized database that will present your key information in a single, easy-to-use portal.

Our Methodology:

Data Discovery:

Phase I Initial Data Discovery: In order to create effective reports, it is crucial to understand what information is available and where it is stored. The purpose of the Initial Data Discovery is to analyze the existing data mix along with understanding the business objectives and reporting needs. At a high level, key metrics are defined, business processes are analyzed, and finally it is determined how the data will be stored and accessed. The outcome of this phase of work is an overarching plan to determine what kind of reporting portal, if any, is most cost-effective and best aligned with the business requirements.

Phase II Detailed Data Discovery: Based on the outcome from the agreed upon Initial Data Discovery, this phase delves deeper into the data and systems. The important outcome of the work is to understand how data will enhance processes, create effective reporting tools and ensure a return on the investment. The process begins with a detailed documentation of the data and reporting needs. Throughout the process, the following is defined and determined: key metric requirements, data locations and relationships, a centralized database design, and a data collection and reporting strategy.

Development Process:

The strongest approach to building a solution based on the plan established is through incremental and iterative development phases. Bringing together information from multiple locations requires the building of a solid foundation. As the solution is built, incremental approvals and allowances for adjustments are put in place. It is proven that this approach not only fosters better collaboration but also delivers cost savings that are actualized over the long run.

Throughout the developmental process, continuous quality assurance testing is executed to ensure that the solution meets the requirements outlined in the discovery phase. Because of the unique nature of every project, this extended approach of quality assurance and approvals produces a more effective final solution.