Unlocking Critical Business Insights for Growth

The development of enterprise-class applications has become increasingly important for enterprises seeking to access high-quality data. As they attempt to manage a data-driven organisation to achieve their corporate purpose, enterprise leaders must create frameworks to connect dependencies across processes for reliable information. When data is effectively interpreted, it becomes the key to unlocking critical business insights.

Today's enterprises are attempting to optimise and exploit data - which they rightly regard as a valuable asset - for actionable insights. It is necessary to be secure and accurate to better support decision-making and satisfy demanding customer requirements. Not only that, but this data must be easily accessible, with exploration functions that provide analytics for obtaining actionable insights.

The idea that businesses should focus more on preventing crises rather than simply responding to them is not new. What is new is the ability to successfully predict and mitigate critical events on a regular and consistent basis.

Recent advances in data analytics, business intelligence, machine learning and artificial intelligence have enabled enterprise organisations to better detect and accurately forecast operational difficulties. This exponential improvement in the ability to analyse enormous historical data sets and millions of pages of unstructured text to track patterns and identify potential problems is revolutionary.

By creating business intelligence dashboards, organisations can instantly understand where to increase efficiencies, when to manage costs and how to impress customers with the right financial solutions in the long run.

Further, data analytics develops a single source of truth for compliance and method to build trust among customers.

Actionable intelligence requires a robust data infrastructure

Digital transformation leads to improved analysis and use of data. Through this transformation, enterprises can implement more effective business and finance practices. Although many enterprises recognise the importance of having an adequate data infrastructure, it is not yet reliable enough in many countries.

Data Democratisation

The rate at which data is generated is increasing all the time. People are preparing themselves to function and engage with data in the larger environment. In addition, the necessity to improve usable data analysis while becoming increasingly data-driven in decision-making is almost unanimously acknowledged.

This cannot be done without reliable analytics tools capable of desegregating and connecting previously siloed data, making it manageable from a single place.

Moving from Reactive to Proactive Decision Making

Enterprises must be more perceptive in times of business uncertainty to detect and respond to new technology opportunities that drive digital transformation. HyperIntelligence - a term that has only lately been coined - makes data accessible to employees at their convenience.

For forecasting and strategising, data must be gathered from reliable and personalised sources. The simple card, which is considered the future of Data Analytics, aims to give important data insights for specified keywords across all web apps.

OpenGov Asia is pleased to bring an exclusive Breakfast Insight that aims to provide the latest information on how enterprise is using data analytics to drive mission outcomes. This is a closed-door, invitation-only, interactive session with Singapore’s top enterprise leaders.

OpenGov Breakfast Insights are concise, to the point, strategic level discussions designed to bring learning to the highest level! The unique proposition of this OpenGov Breakfast Insight is the integration of cutting-edge insights from our expert speakers and interactive discussion among the participants.

This unique session will present the latest research and real-time case studies on the future of data analytics tailored for enterprise:

• Creating insights across organisational boundaries to provide information to decision-makers for them to better manage risk and execute business strategies
• Understanding how enterprises can use data analytics to optimise strategic planning to remain competitive.
• Identifying existing technology for processing large amounts of data and transforming it into actionable forecasting and decision-making insights
• Managing and mining data from client interactions to improve service quality
• Increase your understanding of how digital technologies can help you better understand how your customer use data

Who should attend:

• Chief Data Officers
• Chief Financial Officers
• Chief Information Officers
• Chief Technology Officers
• Data Scientists