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We work with various Governmental organisations and develop intuitive, rapid reporting platforms. A key area is spending. ABM Systems has developed a procurement profiler that allows you to analyse and promptly determine inefficiencies and opportunities in your spending profile:


  • Spending management
  • Review of vendors within categories
  • Analysis of purchase order behaviour
  • Duplicate invoices & incorrect unit price review
  • Spend under contract reporting


Empowering stakeholders across your enterprise to explore capital and operating budgets.


Making sure all levels of your enterprise have real time insight, and information. Leading to a more accurate decision process based on data exploration rather than relying on complicated financial systems.


Explore revenues, expenses, and budgets in one location. Historical trends lead to informed planning and decision making.


Leverage real-time data on financial and performance metrics when building the next budget. Inform key stakeholders with budget details at key milestones in the process, such as department requests, budget committee reviews, and public feedback sessions.


Give department managers and staff access to vendor payments and other transactions. Respond to inquiries about pending or in-process payments, analyse vendor trends, and verify that expenses came from the right account.


Uncover economic development opportunities by examining sales tax revenues across your community. Communicate capital project plans and status to elected bodies and citizens.


View and create beautiful, interactive maps on the fly. Our proprietary mapping engine lets you zoom through and explore millions of data points on the key metrics that impact your communities the most.


Instead of taking hours or even days to answer questions or fulfil information requests, obtain the insights you need in seconds. Empower managers across the organization to answer their own questions and drill into the data.

ABM Systems can help government organisations by implementing a data-driven and analytics-focused approach. Operational efficiency is improved by allowing all levels of the organisation to process and examine last sets of data and identify patterns and trends that allow better engagement with citizens and increase operating efficiency. This, in turn, will lead to new revenue opportunities and reduce cost while maintaining better compliance with laws and regulations.

Government organisations can radically improve the delivery of services to citizens by adopting techniques for analytics and becoming more data-driven and analysis-focused. Analytics applications provide analysts with tools and processes to examine massive data sets to unearth hidden patterns, trends, citizen preferences, and other useful information that can lead to better engagement with citizens, improved operational efficiency, savings through reduced costs, new revenue opportunities, and compliance with government rules and regulations.

Analytics within the governmental sphere includes handling, processing and sharing of massive quantities of data. This data may be unstructured, ABM systems create an environment that utilises ‘cleansed’ data and allows the relevant and accurate information to be delivered to the appropriate bodies for interpretation and analysis.

Analytics for “smarter government” implies handling, processing, and sharing massive amounts of data. That data may be structured data, such as the data managed within a database system, or it might be unstructured data, requiring additional technologies for interpretation and conversion into a usable format.

It also requires having the right business analysts tinker with different kinds of analytics solutions, such as predictive analytics (in which historical data is scanned to find behaviour patterns that can be used to predict upcoming events or decisions), and prescriptive analytics (which use the discovered patterns) to alert analysts of frequently occurring events, such as:

  • Analysing transactions to identify and prevent fraudulent behaviour as it is occurring;
  • Monitoring suspicious network activities that show signs of a cyber-attack or data breach;
  • Supporting defence battlefield data fusion activities;
  • Identifying potential security threats or safety threats by analysing the potential connections linking crimes, locations, and individuals;
  • Analysing the provision of social services to improve processes leading to desirable outcomes in more specific social environments; or
  • Analysing the text in massive document repositories to protect those documents containing personally identifiable information.

An easy-to-use analytics solution has the potential for creating value, but there are times when the desire to adopt solutions like big data analytics are hindered by the quirks of government management turnover, the long time frames of the budgeting process, the reliance on legacy platforms, and the overall complexity of the government’s technology environment. Three key change management hurdles must be overcome to gain the advantage from analytics:

Transitioning from a siloed, project-oriented focus to a horizontal/enterprise focus,

Committing to being proactive about using analytics solutions, and

Overcoming the barriers that are common in public sector organizations regarding change management associated with adopting new technologies.

To overcome the challenges of introducing big data analytics into government environments look for solutions that enable incremental adoption methods and technologies. At the same time, make sure that the transition allows you to overcome the change management issues. Choose tools with a low barrier to entry (such as open-source tools like Hadoop, or tools that can be provided by vendors whose suites are already available for use within the agency), are easy to use integrate, can parse both structured and unstructured data, and that fit well into the existing enterprise technology architecture. By devolving an analytics capability, you streamline the adoption process and speed the time to value for making analytics a part of the government enterprise environment.

The use and adoption of big data within governmental processes allow efficiencies in terms of cost, productivity, and innovation, but does not come without its flaws. Data analysis often requires multiple parts of government (central and local) to work in collaboration and create new and innovative processes to deliver the desired outcome. Below are some examples of initiatives the governmental big data space.

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