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  1. Financial Planning and Analysis
  2. Data-Driven FP&A
Role of FP&A in Mastering Company Ecosystem Complexity
May 29, 2019 | 471
ch-fournier

By Christian Fournier, former Head of Finance Europe at Orange Business Services

Most large and medium-size companies are within ecosystems with increasing complexity and evolutions speed. Globalisation, regulations, technological changes, competitor moves

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  1. Financial Planning and Analysis
  2. FP&A Team Building
  3. FP&A Business Partnering
Does Your FP&A Team Have a Seat at the Table?
May 22, 2019 | 746
Matt Poleski

By Matt Poleski, CFO, Northeast and Mid-Atlantic Region at Arthur J. Gallagher & Co

Each function has strategic insight that can benefit senior management with their unique perspective. While this is true, there are

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  1. FP&A Business Environment
  2. Financial Planning and Analysis
Brexometer for FP&A Professionals: May Reading
May 16, 2019 | 122
David-West

By David West, Head of New Business Development at AcoBloom International®

This month there was not much movement across both economic and political measures as the UK took a breather after

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  1. Financial Planning and Analysis
  2. Planning and Budgeting
Using Accounting in Your Financial Plans
May 15, 2019 | 759
karl_kern

By Karl Kern, Accountant / Lecturer / Writer

A financial plan is a product used for guiding people’s actions toward the accumulation of wealth.  As a product a

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  1. Financial Planning and Analysis
  2. Data-Driven FP&A
The ‘Right Data’: What is It and Where Can You Get Some?
May 14, 2019 | 1,261
Irina-Steenbeek

By Irina Steenbeek, Founder of 'Data Crossroads'

In our earlier blogs we have discussed the role of data in your profession, your main benefits from proper managing

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  1. Financial Planning and Analysis
  2. AI in FP&A
  3. Forecasting Quality
  4. Modelling and Forecasting
  5. ML in FP&A
Experiences from Implementing Machine Learning for Forecasting
May 8, 2019 | 1,618
asif_khan

By Asif Khan, Global FP&A at PayU

The democratization of technologies is underway. Tools like machine learning (ML), which were confined to universities, hedge funds or investment

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