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Intelligent automation: turning unstructured data into value

Data is integral to strong processes, driving business innovation, and valuable insight – if understood and used correctly. Nikhil Asthana looks at how you can automate your manual process and strengthen your infrastructure to provide better data.

Establishing a strong data foundation is fundamental to managing internal information and building a core system throughout a firm. Access to good metrics and data can greatly enhance the running of your organisation and provide intel on how you can improve to meet best practice. To achieve this, it usually takes a large team of dedicated individuals finding the data and picking out the most necessary details from it, which can take up time.

As large amounts of information are being processed from multiple different sources, manual methods of obtaining data are becoming increasingly challenging. The likelihood that the information obtained will be erroneous, complex, and unstructured greatly increases - making pinpointing key information and gaining insight difficult.

Assembling automated tools

Although it's been common practice to manually assess data, having high-level processes to manage this information enhances systems though a tailored solution and a full-service platform that can identify key information.

Automated systems employ machine learning (ML) and artificial intelligence (AI) that can be programmed to immediately gather information and highlight the data that aligns most strongly with your organisation's goals. This enables assessment of information from the top down and a clear overview of relevant metrics that are automatically highlighted and displayed based on your overall targets, while filtering out irrelevant data.

Additionally, by building an internal system, you can create a centralised storage unit for data and provide direct access to your team. In turn, this will provide users with an end-to-end platform for information and enhance the day-to-day operation of corporate governance. It creates a clearer set of data analytics and allows for a greater emphasis on the information. In comparison to data that's obtained manually, highlighting the relevant metrics is resource-intensive.

Building platforms from internal systems is helpful for adopting an in-house digital ecosystem that can be used across your firm and establish a greater understanding of the overall structure of the automation network. Building easy-to-use tools will also allow you to discover compliance issues early and identify instances and risks of human error.

Building systems

It's important to develop the right data framework to make the most of your target automated system. Transferring current processes will require a transition from manual data collection to an information-gathering network that engages ML and AI. This will obtain an enhanced set of metrics and build a structured process of data collection for meeting compliance.

You can leverage a web solution for data access, which provides direct access to users and ensures that there's an increased layer of security. This platform will also provide a clearly defined set of data visualisation tools, which will allow your people to gain greater insights from collected metrics and allows individuals to identify data inaccuracies more clearly and avoid errors.


Management information

Automated tools also help you transform current manual processes. An automatic system can address key issues within a framework by highlighting the overall controls and mechanisms for efficiencies and ensuring awareness of this key data. This will also help your organisation understand the risk and benefits of your metrics more clearly and help them effectively choose what action is needed to meet best practice. The system can also be scaled over time and managed accordingly to your progress.

Managing this information also helps develop a clearer roadmap to enhanced automation. By implementing an ML platform, the process of feeding data into the system builds an automated framework that will improve over time as more data is submitted.

Opening the access to data is an important step to building an effective infrastructure that enhances the overall process and provides information that helps reach your goals. In turn, the information will be more effective and streamlined for the future.

An automated platform ensures greater access to data and information. It creates an efficient in-house data tool and helps embed your overall goals through integrated systems and enhanced data analytics.


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