BizData Quarterly Newsletter - May 2022

BizData Quarterly Newsletter - May 2022

LATEST ANNOUNCEMENT

Faster, Streamlined Data Stewardship with Loome

Loome introduces improved data stewardship features with the latest enhancement

Loome results tables have received a major upgrade, with the latest enhancement focused on UX and speed.

The new results grid includes improved features including conditional slicers, filters and sorting per column, as well as the option to hide, pin and re-order columns as you choose.

The results grid now displays records 800x faster than previously experienced.

Learn more

Complimentary Training to Empower your Analytics Capabilities

Introduction to ADML

Last quarter we announced the launch of the world's first universal markup language for Analytics Design, and your response has been phenomenal!

Due to high demand we will be running a complimentary 2-hour introductory course where we'll introduce you to the ADML design methodology with some practical examples of how to apply it.

Register Today

The Art and Science of Effective Storytelling with Data

You've been asked to investigate a particular business problem and you now want to present your findings.

Power BI Desktop can be a great tool to do this but it demands a different approach to building dashboards and reports for monitoring performance.

Join us a for a complimentary training session to cover the key principles of effective storytelling with data.

Register Today

Power BI Updates

2022 has already brought some incredible new features focused further on Power BI App integration with Microsoft Office, amazing mobile design and formatting options, deployment pipeline enhancements and more.

February 2022 saw Dynamic M Query Parameters expand their support for T-SQL based data sources including SQL Server, the general release of default labeling for Power BI Desktop and the preview version of new mobile formatting options.

As always, we love to bring our favorites to you and our customers, making sure our solutions incorporate the best that Power BI has to offer.

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CASE STUDIES

Advanced Analytics for Customer Segmentation

A not-for-profit membership-based organisation sought to establish a customer segmentation solution to better understand their member base, enhance the value of the organisation to members and more effectively target relevant communication to the right audience.

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Data Warehouse Remediation for ERP Upgrade

A national aged care provider, currently in the process of modernising their billing and ERP system with a cloud-based system needed to ensure business continuity with their existing on-premises Data Warehouse.

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Modernisation of a Global Data Warehouse

The Australian based facilities management group delivering utilities and engineering solutions globally and having recently embarked on an enterprise-wide analytics modernization initiative needed a solution that would rationalize existing data services and mitigate reporting processes currently derived directly from source systems.

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EDITORIAL

Challenges in productionising machine learning models

To prove its value, data needs to be used to drive decisions. One way that’s more prevalent today compared with ten years ago is to integrate machine learning models directly into operational decisions.

One of the biggest leaps forward that a data science team can make is to get more of its machine learning models informing real decisions continually in operational systems and apps. Another way of saying this is that data scientists need to get their machine learning models into production (called ‘productionising’) and integrated with apps and operational systems.

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