Taking Business Intelligence seriously: Priyanka Roy

Business Intelligence is not hard, when issues related to cloud, Internet of Things, data quality and data governance are tackled early on.

Introducing Priyanka Roy

Priyanka Roy talks about Business Intelligence

I started my career in Bangalore, India, did a short stint in the US, went on to work in Germany, and I now call New Zealand home. I have been in the Business Intelligence and Analytics field for over a decade now and have thoroughly enjoyed it.

I have had the opportunity to work with diverse industry sectors from Retail, Energy and Utilities, Healthcare, and Manufacturing to Crop Protection and have met some wonderful people along the way.

My journey so far has taken me from implementing BI and data warehousing solutions using a range of technologies, to helping C-suite execs and senior stakeholders in designing their Information Management strategies. Not to forget the opportunity it has given me to travel the world and understand how businesses and cultures work across borders.

What trends and themes are you seeing in your dealings with New Zealand organisations?

In New Zealand, I see there are organisations that have just started to realise the true potential of data and have begun investing in it. On the other hand, I also come across organisations that have taken a leap to the cloud, big data and the Internet of Things. Data Quality and Data Governance continue to be a challenge that organisations have started to address. With the advent of predictive analytics, big data and machine learning, I think it’s an exciting time for corporate New Zealand.

For organisations starting to think seriously about business intelligence, where should they start?

I would say the best way to start would be to define a business strategy on what the organisation plans to achieve and then start small. A few points that I can suggest:

Bring data to the boardroom: Organisations must understand that Data Analytics is a strategic business imperative, and not a pure IT play. A business leader who understands the business and how data analytics can be pulled together to solve complex business problems can play a significant role. 

Lay a solid foundation for data analytics and insights driven culture: Establish what data needs to be collected and acquired to support your strategy. Integrate data technology into existing systems and business models.

Start small, implement a proof of concept: Start with a small proof of concept solution to support processes that have a major impact on your balance sheet. It is not about technology but a business process or issue driven solution that will guarantee success and help with business adoption.

Create an analytical workforce: Encourage your workforce to be innovative and more analytical in their decision making. Apply analytics to measure overall people performance, operational performance, customer performance and selling performance.

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