Data is often hailed as the new currency. Public sector agencies globally recognise the immense potential of data analytics to drive informed decision-making, enhance service delivery and foster innovation. Building capabilities through training ensures that organisations can leverage data analytics programs for government agencies and break down silos while protecting citizen information.

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With data, communities can provide more accurate weather forecasts and determine energy production and needs. It is also used to fight crime, like detecting financial transactions that exhibit fraud-like patterns.

Countries like Australia/New Zealand/the Philippines stand at the crossroads of a transformative journey that involves harnessing data analytics' power through comprehensive training initiatives.

The balancing act of data sharing

Thoughtlab's "A roadmap for the next phase of urban transformation" is a result of benchmarking 200 worldwide cities—representing 5% of the global population. In addition, Thoughtlab surveyed 2,000 citizens across 20 cities, interviewed city decision-makers across regions, and met with urban leaders and experts for discussion groups. The report found that citizens are willing to share data for the public good. At the same time, citizens view data privacy and security to be bigger challenges.

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On the other side of sharing, globally, 29% of city leaders are focused on making data accessible to the public now, with 49% working towards this in the next five years. The Asia Pacific is a leading region, with 29% doing this now and 60% working towards it in the next five years.

Building skills in data governance is critical to mitigating the risks of data sharing. This involves the ability to secure stakeholder buy-in while communicating the positive impact of expanded data.

Analysis from Deloitte Insights notes a growing interconnectedness between:

  • Different Government agencies: Increased data-sharing between agencies and levels of Government has helped improve operational efficiency and decision-making.

  • Public and private sectors: Data-sharing between sectors has created business value while benefiting the public interest.

  • Citizens and Government: More government organisations are working to address calls for heightened data privacy and security.

Why explore data analytics for the Government through training?

We delve into why training helps unlock the benefits of data analytics solutions for Government and public sector organisations.

  • Informed Decision-Making: In public administration, informed decision-making is paramount. Data analytics offers the ability to transform raw data into actionable insights. By leveraging data analytics training, government agencies can enhance their capacity to collect, analyse and interpret data. From there, they can align their policies and strategies with real-world needs.

  • Optimised Service Delivery: Data analytics training equips public sector employees with the skills to streamline service delivery processes. By analysing data trends, agencies can identify areas requiring attention, allocate resources effectively, and predict potential service disruptions. For instance, healthcare agencies can leverage data analytics to identify disease outbreak patterns, allocate medical supplies efficiently, and ensure timely responses during emergencies.

  • Enhanced Resource Allocation: Governments constantly grapple with allocating finite resources to various sectors such as education, healthcare and infrastructure. Data analytics training empowers policymakers to make data-backed decisions on resource allocation, ensuring that funds go to areas with the highest impact and need. This leads to a more equitable distribution of resources, ultimately improving the quality of life for citizens.

  • Fraud Detection and Prevention: Today, digital transactions are the norm. So, the risk of fraud and cybercrime looms large. Data analytics training enables public sector agencies to develop robust fraud detection and prevention mechanisms. By analysing patterns and anomalies in data, agencies can identify potential fraudulent activities and take proactive measures to safeguard public funds. This protects public trust in the system.

  • Promoting Innovation: Governments and public sector agencies play a pivotal role in fostering innovation within their societies. Data analytics training nurtures a culture of innovation by equipping employees with the skills to explore new ways of solving complex problems. By analysing data, agencies can identify emerging trends and anticipate future challenges, allowing them to develop innovative solutions that drive progress.

  • Transparency and Accountability: Analytics training enhances transparency by providing agencies with the tools to analyse and present data in accessible formats to the public. This empowers citizens to hold their Government accountable, fostering a culture of openness and responsiveness. Furthermore, data analytics can help identify areas of inefficiency or mismanagement, prompting corrective actions that lead to improved governance.

What are the best courses for data analytics?

Governments and public sector agencies of Australia/New Zealand/the Philippines stand to gain immensely from embracing data analytics training. We share some of the best data analytics courses available on Lumify Work.

Microsoft PL-300T00 - Microsoft Power BI Data Analyst
This course discusses the methods and best practices that align with business and technical requirements for modelling, visualising, and analysing data with Power BI. Learn about accessing and processing data from different sources, including relational and non-relational data.

Amazon SageMaker Studio for Data Scientists
This three-day, advanced-level course prepares experienced data scientists to use the fully managed infrastructure, tools, and workflows of SageMaker Studio to improve productivity at every step of the ML lifecycle.

Authoring Visual Analytics Using Amazon QuickSight
This course focuses on connecting to data sources, building visuals, designing interactivity, and creating calculations. Learn about applying security best practices to your analyses and explore the machine learning capabilities built into QuickSight.

Advanced Data Modelling and Shaping with Power BI (IAD)
This one-day course teaches how to use Power BI Desktop to import and shape data from various sources. It also walks through the Power BI capabilities you can use to enhance your business users' data model.

Google Cloud Big Data and Machine Learning Fundamentals
This one-day big data analytics course can support Government organisations. It introduces students to Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. Learn about the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Access Data Analytics training with Lumify Work

As we navigate the complexities of the 21st century and the post-pandemic era, harnessing the power of data analytics will undoubtedly contribute to more effective, transparent and accountable governance.

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Lumify Work offers Data Analytics courses so your teams can become experts in using powerful technology tools to find critical insights within a plethora of information. Contact our team to enquire about the courses. Or download our brochure.

We have partnered with leading global vendors like Microsoft, AWS, Google Cloud, and SAP to offer training courses in Data Analytics, AI and Machine Learning. Our fully certified trainers utilise the latest authorised courseware to deliver globally recognised courses and certifications.

With the Lumify Anywhere platform, you can complete Data Analytics courses from the comfort of your home, office, from one of our campuses – or wherever it suits you best.

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