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I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. What typically goes wrong?
Basic knowledge of statistics is essential for data science. Statistics is broadly categorized into two types – Descriptive statistics – Descriptive statistics is describing the data. Visual graphs are the core of descriptive statistics. Communication is one of the key tenets of data science positions.
Knowledgeable with eliciting requirements from stakeholders, then translating, simplifying, and analyzing the feasibility of the requirements and data needed. Strong knowledge of datavisualization tools (e.g., One needs to be on a lookout for seminars, events and mentors in their professional journey. Power BI, Tableau).
Locating areas where corporate operations and processes can be improved Collecting requirements and meeting with users and customers Modelling and prototyping of products and procedures Creating or updating IT or business systems Collaborating with relevant parties and subject matter experts to ascertain their issues and requirements Assembling, describing, (..)
Then, you can look for areas where “communication barriers result in failing to use data to its full business potential” and use them as a baseline to improve. With all this information in hand, you can think about training opportunities such as workshops, seminars, and others. Rely on interactive datavisualizations.
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