Public Sector

Innovative, Real-Time Solutions

Top Public Sector Data Challenges

  • Increased regulation and compliance requirements
  • Reduced budgets
  • Drive to improve transparency
  • Evidencing ‘value for money’
  • Competing private sector alternative
  • Exponential growth in ‘citizen awareness’
  • More complex anti-bribery, anti-money laundering and anti-fraud regulations

Sound Familiar?

  • “How can we stay ahead of the risk and regulatory curve by leveraging technology-based solutions?”
  • “We understand the benefits brought by technology, but how do we pay for it and who will implement the improvements?”
  • “How can we deliver transparency to our information-hungry citizens?”.

Today’s citizens have very high expectations.

Public services will face major challenges over the next decade; severe financial pressures and cuts; growing demand; raising public and user expectations; decentralisation and community empowerment; opportunities to deploy new technology; and global competition.

In the current economic climate of costs and workforce cutting, if public bodies are to continue delivering the core public services that their citizens require, they must become more efficient than ever in the way they operate.

Analytics provides public sector organisations with solutions by enabling them to make evidence-based business decisions. These improve both the efficiency and quality of services delivered.

Financial management and forecasting for any organisation is never easy, but public sector organisations are facing unprecedented fiscal challenges. This means that now, more than ever, public sector organisations need innovative and real-time solutions for their financial reporting and management challenges.

In the 21st century, public sector organisations have to significantly change the way they both target and deliver services to their ‘customers’, the citizen. They demand a new approach to understanding the needs of the ‘customer’; one that is essential if the public sector agency is to remain relevant, efficient, and cost-effective to the taxpayer. Meeting the changing requirements of the citizen landscape, analytics provide deep insight into the needs of their citizens and their likely behaviours in response to any given action. This insight will lead to the provision of the right services to the right groups of citizens at the right time, whilst significantly improving cost efficiency and customer satisfaction.

In a modern, fast-paced environment, businesses must continue to deliver core services with efficiency and transparency. The analytical services provided by DSCallards gives public bodies the solutions to make evidence-based decisions, improve efficiency and ensure the quality of services delivered at top-notch.

Public Sector

Frequently Asked Questions

How is data science used in government?

Data science plays a role in helping the public sector make informed, data-driven decisions. When it comes to government and the public sector, data science can be useful in extracting useful information and providing crucial insights for the purpose of improving decision-making when it comes to government policy. To do so, the sector often makes use of predictive analytics, prescriptive analytics and machine learning.

Why is digital transformation important in the public sector?

Digital transformation has played a hugely important role in the public sector in recent years. Digitalisation provides the public sector with new opportunities as well as the information it needs to make informed, data-driven decisions. Other benefits of digital transformation in the public sector include:

  • Enhanced innovation and agility
  • Easier collaboration between departments
  • Better data transparency
  • Improved organisational culture

How is big data used in the public sector?

Data analytic platforms and solutions allow the public sector, including government agencies, to access large volumes of information in real time. In doing so, the public sector can identify areas that require attention, make more informed, timely and cost-effective decisions about how to proceed and enact the necessary changes they need to implement for maximum growth and efficiency.

To find out more data analytics in the public sector, contact the team at DSCallards today.

Which sector uses data analytics the most?

There are a number of sectors and industries that utilise data analytics and transformation in their day-to-day operations. The most common industries include:

  • Retail – Getting products into the hands of the right target audience has long been a top priority for retailers. Today, predictive data analytics are often utilised to hyper-personalise the customer experience, both online and in-store. In addition, data analytics can be used to make recommendations on what to buy, as well as offer discounts and further information based on past user behaviour to keep audiences interested.
  • Agriculture – Developing the best possible agriculture methods is vital for every country. Data science aids in estimating the worth of modern farming techniques and quantifies both the expected value of additional resources and the likelihood of success.
  • Banking – The banking sector is also being greatly impacted by predictive analytics. Banks are learning to combine internal and external customer data to create a predictive profile of each banking customer, much like the retail industry. Instead of promoting mass marketing campaigns that treat all consumers the same, financial institutions can use the information they receive to provide customers with bespoke value-driven services that are tailored to each individual.
  • Public Sector – Globally, entities working within the public sector including government agencies are embracing data analytics, natural language processing, machine learning, speech and image recognition and other technologies to address issues before they escalate.
  • Manufacturing – In the manufacturing sector, data analytics is typically integrated into factories to help with production scheduling, reduce bottlenecks and maximise efficiency. Factory staff can also leverage their data to cut costs through predictive maintenance and improved safety, as well as uncover new sources of revenue.

To find out more about how data analytics and transformation can be utilised in your sector, contact DSCallards today.

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