Business Data and Process Analysis
Description
Are you getting the most out of your data?
Do you need someone to…
- assist in the implementation of new processes, provide guidance and support to ensure smooth transition and adoption by relevant stakeholders.
- clean and preprocess data to ensure accuracy and consistency and remove any errors or inconsistencies that may affect analysis.
- collaborate with cross-functional teams and stakeholders to understand their data needs, provide insights, and support decision-making processes.
- collaborate with your cross-functional teams to ensure alignment of process improvements with overall business strategies and objectives.
- collect data from various sources.
- create data dictionaries and catalogues.
- create stories using data to convey insights, trends, and findings to stakeholders.
- create visualizations such as charts, graphs, and dashboards to make your complex data more accessible to help you make better data-driven decisions.
- design new or improved processes that address the identified issues and incorporate best practices to achieve desired outcomes.
- discover hidden patterns or insights within large datasets.
- document current processes using flowcharts, process maps, and written procedures to provide a clear understanding of how things currently operate.
- establish metrics and key performance indicators (KPIs) to measure the effectiveness of the implemented processes and track progress towards achieving desired outcomes.
- examine your existing business processes and understand how they currently function.
- help manage the change associated with process improvements by communicating changes, addressing concerns, and providing training and support to your stakeholders.
- identify areas where processes can be improved to achieve better outcomes, to reducing costs, eliminating waste, or enhancing customer satisfaction.
- identify performance indicators (KPIs) and metrics to track the performance of processes, products, or services.
- recommend actions or strategies based on analysis findings.
- use modelling to help forecast future trends based on your historical data.
- use statistical and analytical techniques to analyse data and extract valuable insights.
- work closely with stakeholders to gather requirements for process improvements, to ensure that proposed changes align with organizational goals and objectives.
Give me a call and we can discuss how I can help your organization leverage its data to drive strategic decision-making, improve performance, and achieve your business objectives.
My availability is generally between 6am-12pm Monday – Friday NZST unless agreed otherwise.