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How to increase resiliency and agility to anticipate market volatility

How to increase resiliency and agility to anticipate market volatility 3

How to increase resiliency and agility to anticipate market volatility 4By Tim FitzGerald, EMEA Financial Services Sales Manager, InterSystems

While we can’t quite predict the exact nature of market turbulence, one thing we can predict is that market volatility will occur with monotonous regularity.

The connected world in which we all live drives the markets. In recent years we’ve seen the impact of geo-political events, pandemics, elections, and disasters being felt with increasing frequency. Intraday numbers no longer cut it. For a financial services firm to be the most competitive, its people need to see and work off data in real-time. As a result, being able to anticipate and respond to sudden market changes has become increasingly important for financial services firms.

Consequently, many firms have been working hard to gain the capabilities needed to become more agile and resilient in the face of this ongoing volatility. With this, financial services organisations have become more aware of the role data, specifically fresh data, has to play in a landscape where things can change very quickly.

Yet, while they may be aware of the importance of fresh data in this context, the growing volume, velocity, and complexity of the data firms are dealing with often makes it difficult for them to access and leverage it in real time. Therefore, solving these challenges is going to be vital. At its core, this requires firms to not only bridge their data silos, but also to simplify their data architecture.

The impact of data silos

Currently, large numbers of financial services firms are burdened by siloed systems across multiple departments. This leads to data that is inconsistent, disparate, and difficult to interpret. Often, these organisations have also amassed overly complex data infrastructures that rely on a disjointed set of technologies for data management, semantic layers, data pipelines, data integration, and analytics, making it difficult to obtain information and insights in a timely manner.

All of this prevents firms from being able to get the insights they need to adapt to changing market conditions, capitalise on crucial business opportunities, comply with changing industry regulations, and gain an accurate understanding of risk and decisions related to financial data. In other words, it severely impacts their agility and resiliency. Ultimately, it is far simpler for these organisations to have a system that is easy to understand, use and adapt, rather than trying to navigate  hundreds of different applications dispersed across many locations.

Implementing a modern data architecture

Fortunately, bridging data silos to overcome these challenges is no longer as complex as it once was. This is possible through the use of a unified data platform to power a smart data fabric – a new architectural approach which speeds and simplifies access to data assets across the entire business. The technology accesses, transforms, and harmonises data from multiple sources, on demand, to make it usable and actionable for a wide variety of business applications.

Meanwhile, embedded analytics capabilities within such a platform, including data exploration, business intelligence, natural language processing, and machine learning, make it faster and easier for firms to gain new insights and power intelligent predictive and prescriptive services and applications.

As well as simplifying their data architecture, implementing a unified data platform allows existing legacy applications and data to remain in place, helping firms to maximise the value from their previous technology investments, including existing data lakes and data warehouses, without having to “rip-and-replace” any of their existing technology.

Getting ahead of new opportunities

By incorporating real-time transactional data and eliminating delays in accessing data stored in production applications and data silos, business leaders will be able to make decisions based on accurate and current data, not data that is weeks old. This will eliminate errors and prevent any future business opportunities from being missed.

Armed with a much-needed consistent, accurate, real-time view of the data they need to run their business will enable firms to make more informed and better decisions, as well as giving them the resiliency and agility to anticipate and adapt to changing market conditions. This complete 360-degree view of both their business and their customers will also put financial services firms in a position to better capitalise on crucial business opportunities, comply with changing industry regulations, and gain an accurate understanding of risk and decisions related to financial data.

Ultimately, amid continued market volatility, it will empower financial institutions to turn their data into an enabler, ensuring that they are no longer on the backfoot when spikes occur, and can instead continue to move their businesses forward during times of uncertainty.

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