Robotics / Automation

Problem: Manual extraction of data, with subsequent data cleansing and transformation makes up 80% of the time of the financial planning and analyisis team. Depth and quality of analytics do not meet business requirements.

Approach: Implement an integrated toolset to schedule, orchestrate, and automate low-value data preparation activities. Gradually engage and train the team in the usage of toolset within a best-practice data governance model.

Result: Reduced time spent on data preparation from 80% to 20%. Speed and depth of analysis increased through freed-up time and cutting-edge toolset.

Data Transformation

Challenge:

Inbound electronic invoices provided in a semi-structured file format. Transformation into a useable format for finance operations requiring one full-time analyst to manually cleanse and prepare data on a daily basis.

Approach:

Identified transformation requirements and options. Selected adequate toolset to meet requirements. Designed and implemented a fully automated data transformation logic. Established support and maintenance structure for the solution.

Result:

Analyst freed up from manual data transformation. The new solution requires one hour of maintenance per week. Cloud-based licensing costs under USD 100 per month. Manual processing errors eliminated.

Exit

Data Warehousing

Challenge:

Functional areas with local, and mostly file-based data storage. Data sharing through shared folders or emails create redundancies, inconsistencies, and multiple sources of truth. Analysts invest a significant amount of time in data reconciliation. Executive decision making is rarely backed by conclusive data.

Approach:

Implementation of cloud-based Enterprise Data Warehouse. Role-based security model established, including administrative procedures and policies. In-house support model added to address skill requirements and ensure useability and sustainability.

Result:

Established a single source of truth. Increased the quality and timely availability of data increased. Cross-functional collaboration and data-driven decision making enhanced.

Exit

Dashboarding

Challenge:

Management with fragmented, incomplete, and untimely views on key performance indicators. Multiple reports with inconsistent data and without drill-down options used.

Approach:

Created a customized dashboard based on a single, trusted data source. Optimized data extraction and data blending. Enabled self-service reporting functionality. Re-designed reporting processes and structure. Trained stakeholders in required skills and capabilities.

Result:

Vastly enhanced KPI visibility for the Management. Decreased data extraction and preparation efforts by over 80%. Decreased response time of KPI drill-downs from days to minutes.

Exit