Remove Data Processing Remove Forecasting Remove Uncertainty Remove Visualization
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Rebooting expectations to connect and lead in more meaningful ways

CIO Business Intelligence

This echoes some existing sentiment, especially around D&I, for instance, but the discipline of success lies in not only thinking 10 years ahead but also walking it back to the present to account for progress—a model that has given the IFTF a consistent track record of successfully forecasting futures. “I

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The Art and Science of FP&A Storytelling

Timo Elliott

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?

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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

awsAccessKey=s3-spark-user/HOST@REALM.COM. Data processing and visualization. def plot_case_by_location (locations, df, title): num_cols = 2. Alternatively, let’s look at the trend of vaccinations in a few countries, along with a forecast of when the countries will reach the threshold of say 70% vaccinated. .

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6 ecommerce trends to watch

IBM Big Data Hub

Some forecasts suggest online retail might be responsible for half of all retail revenues by next year. a new living room couch—consumers can reduce uncertainty and the likelihood of returning a product by “trying it out” in their living room.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. Clearly, when we work with data and machine learning, we’re swimming in those waters of decision-making under uncertainty. Addressing cognitive bias with pre-mortems.

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What it Means to be a Data-driven Financial Institution

Sisense

And utilizing a solution like Narmi Analytics, our customers can filter by information type and visualize their data in bar graphs, pie charts, scatter maps, or whatever is most appropriate. Forecasting consumer trends. First and foremost, data can inform financial institutions about customer and member activity.