Increasing Data Usage

with Power BI & Data Literacy Training.


A Federal Government’s data assets were quickly becoming liabilities due to low business engagement. The proportion of individuals leveraging data to inform decisions did not support a data-driven culture.

As a result, decision makers lacked a proper understanding of what data was available, its quality and its impact on business operations.

We increased employee engagement with data and boosted data literacy across the Department 
by utilising a change management framework.

The BBMT Approach:

grew aps engagement with digital

Built awareness and desire by showcasing the art of the possible and demonstrating quick wins (ease of access to data, automation efficiencies, reduced reliance on other teams).

accelerated data-driven culture

Increased knowledge through interactive workshops, building individualised reports, providing ad-hoc assistance and developing and teaching data literacy material.

strengthened digital capability

Customisable templates, hands-on training sessions and gamification techniques improved ability (all while fostering a safe environment where learning and development was not expected to occur overnight).

delivered real & lasting change

Provided reinforcement with meaningful incentives, diverse and frequent communications (Executive advocacy, championing impactful data-driven work, “Did You Know” series), continuous support and utilising analytics to track the change.

Like all of our work, knowledge sharing was at the forefront of the entire project as we worked towards
our mission of rendering ourselves obsolete.

Whether it was through one-on-one Power BI assistance, group teaching or delivering bespoke data literacy training, the change was expedited as internal capability grew.

Knowledge Sharing

Our approach successfully increased Power BI adoption rates by over 200% 
with the following outcomes achieved:

Step-change growths in data literacy and Power BI capability meant improved business agility and operational efficiency.

Increased the Return on Investment of data holdings as 30% more individuals were querying the database.

Enhanced, confident and repeatable decisions were able to be made at speed as individuals readily found, accessed, understood and utilised data within the Department.

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