There is no doubt that data is a core asset for any enterprise, but many still struggle to extract value from that same data. Teams get to spend too little time on value-adding data analysis, due to the non-stop need for operational activities such as compensating for low data quality, partial or delayed data deliveries and unclear requirements, resulting in the suboptimal use of the available expertise and overall frustration.
Although there is no single solution to this issue, we believe that a significant improvement can only be achieved by the right mix and timing of expertise, technology, and data.
At Mount Analytics, we provide the financial services industry with Data Science and Analytical services: from Data Collection to Business Value Improvement and from Data Preparation and Data Remediation to Data Science Training for Senior Management. All of which can be offered as a subscription-based service or as a single assignment.
Through our partnership with Mount Consulting, our data analysts have direct access to finance, risk and data governance and architecture expertise, to understand the context of data in addition to their own data expertise. We consider this combination vital to selecting the right approach for data preparation, analysis, and/or data remediation activities.
Furthermore, our approach always takes company specific data architecture, management, and best practices into consideration as part of the delivery. As such, opportunities for improvement of data quality and data management are easily identified and tailored to the client’s needs.