Fishing for Data: Business Intelligence on the High Seas Making smarter decisions from rich sources of data is becoming one of the most important tools for organisations protecting and managing natural resources like fisheries. At FINNZ we’ve become deeply immersed in how to apply disciplines like ‘Business Intelligence’ to extract valuable insights from fisheries data. This paper outlines that experience and highlights lessons for anyone wanting to ‘fish’ for the most useful data.

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What is BI?
Business Intelligence (or simply ‘BI’ as it’s more commonly known)
can be broadly defined as sharing a number of key characteristics,
including:
• Software applications used to analyse an organisation’s raw data
• A technology-driven process for analysing data and presenting
actionable information to help individuals and organisations
make more informed business decisions
• A report on data from any number of internal and external
sources

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Catching Fisheries Data
• We know the importance of capturing quality data to provide
fisheries managers and regulators with the information they
need to make informed decisions.
• Fisheries Data must be consistent, information standardised,
shared between agencies, high quality and available in a timely
manner.
• This white paper looks at how we put these principles into
practice while utilizing Microsoft’s family of self-service BI
products to provide the tools and information needed to
successfully manage a regions fish stocks.

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A BI Tech Journey
In particular this white paper outlines what we learnt on our BI
tech journey as well as the pros and cons we discovered when
using each of Microsoft’s self-service BI products.
• Power Pivot
• Power Query
• Power Map
• Power BI

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Want to know more?
Download the full white paper here