From Data Warehouse Testing to Data Quality Management with BiG EVAL 

From Data Warehouse Testing to Data Quality Management with BiG EVAL 

From Data Warehouse Testing to Data Quality Management with BiG EVAL 


It’s the beginning of the year, and what better way to kick 2024 off than joining us for our first Engaging Data Bites of 2024!    

This insightful Lunch and Learn Webinar will be hosted with our partners BiG EVAL, where will unpack the success story of Helsana Health Insurance’s journey From Data Warehouse Testing to Data Quality Management. 

As we unfold this success story, we invite you to join our Engaging Data Bites session, From Data Warehouse Testing to Data Quality Management with BiG EVAL.  

Join us and explore the nuances of the journey, gain insights from industry experts, and discover how your organization can embark on a similar path towards data excellence!

The Session

Come and join us for this next session with BiG EVAL! 

  • Date: 25th January 2024 
  • Time: 12:30pm – 1:30 pm GMT 
  • Location: Online Webinar, hosted on Microsoft Teams 

Why Should You Attend?

  • Real-Life Success Story Unveiled 
  • Revolutionise Your Data Approach 
  • Expert Insights and Industry Best Practices 
  • Future-Proofing Your Data Infrastructure 
  • Interactive Q&A Session 

Save your spot now!  

About BiG EVAL

BiG EVAL maximizes everyone’s trust in your data through intelligent, continuous validation ensuring data quality, while also speeding up the development of data-centric projects and DataOps process automation.  

Integrate test cases into your continuous delivery process to verify system components, or even into your data integration process for automated data validation.  

The BiG EVAL data validation resource centre includes predefined test templates and examples to accelerate your data quality journey with BiG EVAL, aiming to get you up and running in days, not months.  

Want to learn more about BiG EVAL? Click the button below!

Unpacking the Legacy: A Deep Dive into Investment Management Systems

Unpacking the Legacy: A Deep Dive into Investment Management Systems

Unpacking the Legacy: A Deep Dive into Investment Management Systems


 

Investment Management: where every decision carries weight, precision is paramount and the technology supporting these operations stands as the metaphorical anchor.  

Yet, for many investment leaders, the challenges posed by legacy systems have become pervasive, hindering progress, stifling innovation and introducing operational complexities that ripple across the whole organisation. 

What is a legacy system though? A legacy system is any outdated computing system, hardware or software that is still in use. Legacy systems include computer hardware, software applications, file formats and programming languages.  

Let’s discuss and unpack the legacy, peeling back the layers of investment management systems that have, in many cases, become the unsung orchestrators of daily operations. In this deep dive, we’ll confront the prevalence of legacy systems, understand their persistent presence, and dissect the impact they have on the efficiency and security of investment management operations. 

This exploration isn’t merely an analysis of the present state of investment management systems; it’s a forward-looking venture into the technological innovations shaping the future.  

We’ll examine current trends that are reshaping the industry and strategise on how to future-proof investment systems, ensuring they remain adaptable to the rapid advancements on the horizon. 

Navigating the Investment Management Technology Landscape 

Technology stands as the cornerstone that reshapes and redefines the way financial institutions operate, obviously. 

Technology isn’t merely a supporting factor in the investment sector; it is the driving force behind the optimisation of processes, the enhancement of decision-making, and the facilitation of strategic foresight. 

The integration of advanced technologies, like Artificial Intelligence and Machine Learning, has revolutionised how investment firms analyse datasets and identify trends, to name a few. In an era where information is currency, technology not only accelerates the pace of decision-making but also opens doors to innovative investment strategies.  

Evolving Landscape: A Brief Overview 

To understand the present and anticipate the future, we must contextualise the journey of investment technology. The landscape has undergone a remarkable evolution, marked by shifts and technological breakthroughs. 

In the early days, investment technology primarily focused on automating manual processes, reducing errors, and improving the speed of transactions. However, as financial markets became increasingly sophisticated, so did the need for advanced technological solutions. 

The rise of online trading platforms, the proliferation of big data, and the rise of cloud computing have collectively reshaped the investment landscape 

Moreover, regulatory changes, such as GDPR, have propelled the industry toward greater transparency and data privacy considerations, further influencing the trajectory of investment technology. 

The Prevalence of Legacy Systems 

Having briefly navigated the landscape of investment technology and observed its evolution, our journey brings us to a critical structure where the shadows of the past still loom: the prevalence of legacy systems.  

Despite the technological advancements within Investment Banking, legacy systems still stand out as historical artefacts bearing distinct traits that categorise them as such in the contemporary content. Identifying these systems is pivotal for investment leaders looking to pave the way for innovation, efficiency and cost-saving within their organisation.  

Legacy systems often exhibit common characteristics, such as:  

    • Outdated Architecture 
    • Limited Compatibly 
    • Lack of Scalability 

They may rely on obsolete programming languages or lack the flexibility required to accommodate the dynamic demands of modern investment practices.  

Let’s dissect the traits and assess the legacy system that is impeding progress within your organisation. 

Why Legacy Systems Persist 

Understanding the prevalence of legacy systems requires a closer examination of the factors contributing to their persistence despite their acknowledged limitations. The reasons are multifaceted and often rooted in the historical context of an organisation’s technological evolution. 

Legacy systems persist due to a combination of factors, rooted in a combination of practical, financial and psychological factors. Here are some key reasons why organisations often find it challenging to move away from legacy systems:  

Financial Investment:  

Organisations have typically invested significant time and resources in the development, customization, and implementation of legacy systems.  

The sunk cost fallacy often plays a role, as decision-makers, you may be hesitant to abandon an investment they perceive as substantial, even if it no longer serves the organization optimally. 

Risk Aversion:  

Transitioning from a legacy system to a new one is not without risks. There’s the potential for disruptions in operations, data migration challenges, and the uncertainty of how the new system will perform.  

Organisations, especially in risk-averse industries like finance, may be hesitant to undertake such significant changes, fearing potential negative consequences. 

Complexity of Migration:  

Legacy systems are often deeply integrated into an organisation’s processes. Untangling these complex integrations and migrating data to a new system can be a daunting task. 

The fear of causing operational disruptions during the migration process is a significant deterrent for many organizations. 

Regulatory Compliance: 

In industries such as finance, compliance with regulatory standards is paramount.  

Legacy systems may have been designed and implemented to meet specific regulatory requirements, and organisations may be concerned about ensuring the same level of compliance with new systems. 

Business Process Alignment:  

Legacy systems are often closely aligned with existing business processes. The thought of adapting these processes to fit a new system, or vice versa, can be a significant challenge.  

Organisations may resist change that requires a re-evaluation and restructuring of established workflows. 

Perceived Stability:  

Despite their limitations, legacy systems may be perceived as stable and reliable.  

Organisations may prioritize system stability over innovation, especially if they have experienced costly disruptions or failures when implementing new technologies in the past. 

User Familiarity:  

Users within the organization become accustomed to the interface and functionalities of legacy systems.  

Transitioning to a new system means investing time and resources in retraining employees, and there may be resistance to change among staff who are comfortable with existing tools. 

In essence, the persistence of legacy systems is a multifaceted challenge, encompassing financial considerations, risk aversion, technological complexity, and human factors. Addressing these challenges requires a strategic and holistic approach that considers both the technical and organizational aspects of the transition. 

The Legacy Systems Impact on Investment Operations and Efficiency 

Stepping into the daily workings of investment management, let’s talk about how holding onto legacy systems affects the smooth flow of operations. Let’s shed some light on the practical challenges that CTOs, CIOs and CDOs face – operational roadblocks and security concerns that could be holding your teams and overall organisation back.  

Operational Bottlenecks 

Imagine your investment operations as a well-coordinated team, working together seamlessly. Legacy systems, which were once the star player, now feel a bit like a team member who hasn’t quite kept up with the game. Here’s how: 

Outdated Tools:  

Legacy systems often rely on outdated tools, slowing down processes. It’s like trying to use an old version of software when everyone else is using the latest, more efficient version 

Compatibility Issues: 

These systems struggle to work well with newer technologies and third-party applications. It’s a bit like trying to integrate old software with new tools – it doesn’t always go smoothly. 

Flexibility Challenges: 

Picture your team trying to expand their efforts, but the tools they’re using can’t keep up. Legacy systems face a similar challenge- they’re not as adaptable to the growing demands of your operations. 

Slower Pace: 

Making real-time decisions is crucial, like quick responses in the game. Legacy systems, however, operate at a slower pace, making it tough to keep up with the fast-moving nature of global markets.

Security Concerns and Compliance Challenges 

Now shifting our focus to security and compliance – a bit like making sure everyone on the team follows the rules and stays safe.  

Attracting Unwanted Attention: 

Legacy systems, attract attention. Unfortunately, this also makes them more vulnerable to cyber threats. They lack the latest security measures, making them more susceptible to risks. 

Maintaining Coordination: 

Think of data accuracy and compliance as the team’s coordinated efforts. Legacy systems, however, sometimes struggle to keep things in sync, introducing the risk of inaccuracies and compliance hiccups. 

Adapting to Changes: 

Regulations change, a bit like the rules of the game evolving. Legacy systems, not designed to adapt easily, struggle to keep up with the evolving landscape of regulatory standards. 

Tracking Progress: 

Imagine trying to improve without keeping track of your team’s progress. Legacy systems cannot often keep detailed records, making it harder to show regulators that you’re following the rules.

We’re here to untangle the operational challenges caused by these bottlenecks. The goal is to ensure a smooth flow between efficiency, security and compliance. It’s not just nerdy, tech talk; it’s about ensuring your team can work seamlessly together and make your organisation even more successful.  

Paving the Path to Modernisation 

In the intricate day-to-day operations of investment management, where every move counts and precision is paramount, the technology supporting these operations serves as the unseen orchestrator of daily routines.  

Yet, the challenges posed by legacy systems have become a pervasive force, hindering progress, stifling innovation and introducing complexities that resonate across your entire organisation.  

We have delved into the definition of peeling back their layers and confronted their prevalence in investment management. This exploration isn’t merely a snapshot of the present; it’s a forward-looking venture into the technological innovation shaping your future.  

As CTOs, CIOs, and CDOs, you understand that technology isn’t merely a supporting factor in your sector. It’s a driving force behind optimisation, enhanced decision-making, and strategic foresight.  

However, the shadows of the past persist in the form of legacy systems. Recognising the need for change is not just beneficial; it’s essential for securing a future of efficiency and innovation.  

Now, envision a workplace where your team interacts with intuitive interfaces, makes real-time decisions, and navigates seamlessly through their daily routines. The path to modernisation is not just about abandoning the old; it’s about embracing a future where your organization operates at its peak potential. 

To further equip you on this journey, we invite you to download ‘From Legacy to Leading Edge: Transformative Strategies for CIOs, CDOs, and CTOs in UK Investment Management’.  

This comprehensive guide offers deeper insights into the challenges and strategies in unlocking the future: transforming your investment management infrastructure. It’s not just information; it’s a blueprint for ushering in a new era of efficiency, security, and innovation in investment management. 

The download awaits, promising a wealth of knowledge to empower your role as technology leaders in steering your organisation toward a future where every move is not just orchestrated but optimised for success.  

We’re not just transforming your data; we’re shaping the future of your success.

From Legacy System to Leading Edge

FREE DOWNLOAD: From Legacy to Leading Edge: Transformative Strategies for CIOs, CDOs, and CTOs in Investment Management

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5 Reasons Why Data Isn’t Working in Your Organisation

5 Reasons Why Data Isn’t Working in Your Organisation

5 Reasons Why Data Isn’t Working in Your Organisation


 

The power of data cannot be overstated. We love data and you should too!  

Organisations in every industry, everywhere are relying on data to make informed decisions, drive innovation, and gain a competitive edge. And if you’re not… WTF are you doing? 

However, despite the potential that data holds, many organizations struggle to harness it effectively. 

In this blog post, we’ll explore what data is and how it can be used. After this, highlighting the 5 common reasons why data initiatives may not be working in your organisation and how to overcome these challenges. 

Data: What is it? How is it used? 

Okay, so what is data? If you didn’t know already (if you already know, skip this bit) 

Data refers to raw facts, figures, and statistics that are collected, recorded, or stored in various forms.  

It can take the form of numbers, text, images, audio, or any other structured or unstructured information.  

Data is the fundamental building block of information and knowledge. It can be categorised into two primary types: 

  • Structured Data: This type of data is organised into a predefined format and is easy to analyse. It’s often found in databases and spreadsheets, and each data point has a specific meaning. Examples include numerical values in an Excel spreadsheet or customer details in a relational database. 
  • Unstructured Data: Unstructured data is not organized in a predefined manner. It can be in the form of text, images, audio, or video and doesn’t fit neatly into rows and columns. Examples include social media posts, emails, images, and videos. 

Data is a valuable resource that can be harnessed for various purposes in different sectors. Here are some common ways data can be used: 

  • Decision Making: Data is crucial for informed decision-making. Organizations use data to analyse trends, identify opportunities, and make strategic choices. For example, a retail company may use sales data to decide which products to stock. 
  • Performance Analysis: Data can be used to assess the performance of processes, products, or individuals. In sports, for instance, performance data is used to evaluate athlete performance and make improvements. 
  • Predictive Analytics: By analysing historical data, organizations can make predictions about future events. For example, financial institutions use historical transaction data to detect fraudulent activities. 
  • Personalization: Data is used to tailor experiences for individuals. Online retailers, for instance, use data to suggest products based on a customer’s browsing and purchase history. 
  • Marketing: Marketers use data to target specific demographics, track campaign performance, and optimize their strategies. 
  • Customer Insights: Customer data helps businesses understand their customer’s preferences, behaviours, and needs, enabling them to provide better products and services. 
  • Financial Analysis: Financial institutions rely on data for risk assessment, investment decisions, and fraud detection. 

Data can be a powerful tool when collected, processed, and analysed effectively.  

However, you might be using data in your organisation. Yet, it is failing or not being used to its fullest potential!  

Here are 5 common reasons why may not be working in your organisation and how to overcome these challenges. 

Reason 1: Lack of Data Strategy

A clear data strategy is the foundation upon which successful data initiatives are built. Without it, organizations are essentially navigating uncharted waters.  

A data strategy encompasses a structured plan for collecting, storing, analysing, and using data to achieve specific business goals. It defines the what, why, and how of data management. 

It is basically a business strategy using data.  

The consequences of not having a clear data strategy are numerous. It often leads to confusion, redundancy, and a lack of direction. Without a strategy, you may find yourself collecting and storing data that is irrelevant to your business objectives. 

To overcome this challenge, look to organisations like Amazon and Google, which have well-defined data strategies. They use data to optimise their operations, enhance customer experiences, and drive growth.  

Create a data strategy that aligns with your business goals and ensure it is communicated and followed throughout your organisation. 

Understand more about data strategy here.  

Reason 2: Data Silos

Data silos occur when different departments or teams in an organisation store data independently, without sharing or integrating it.

This can hinder effective data utilisation, decision-making, and collaboration.  

Imagine marketing and sales teams using different data sources, leading to conflicting information and missed opportunities. 

To break down data silos, implement systems that allow for easy data sharing and integration. Encourage cross-functional collaboration and ensure that data is accessible to all who need it.  

Tools like data warehouses and collaboration platforms can be instrumental in this process. 

Understand more about Data Silos and how to eliminate them here.  

Reason 3: Inadequate Data Quality

Poor data quality can be a major roadblock to effective data utilisation. Have you heard the term s#!t in = s#!t out?? 

Inaccurate, incomplete, or outdated data can lead to misguided decisions and analysis. To mitigate these risks, organisations must prioritise data quality. 

Start by implementing data validation and cleansing processes. Regularly audit your data for accuracy and completeness. Establish data quality standards and make sure they are consistently upheld across the organization. 

Reason 4: Resistance to Change

Implementing data-driven practices often encounters resistance from employees or teams comfortable with existing methods. 

It’s essential to recognize that data-driven decision-making may necessitate changes in established workflows and practices. 

To address resistance, consider offering training and education to your employees. Show them the benefits of data-driven decision-making through success stories from other organisations. 

Create a supportive culture where employees are encouraged to embrace data and innovation. 

Also, with data automation your team’s output will increase and reduce costs – it is obviously the way forward. Make your team efficient and happy!  

Reason 5: Insufficient Data Governance

Data governance is the framework that ensures data is managed, utilised, and protected effectively within an organisation.  

Without robust data governance, data-related issues can easily spiral out of control. 

To establish effective data governance, define roles and responsibilities for data management, set data access controls, and enforce data policies and standards.  

This will ensure that data is protected and used ethically and responsibly. 

Conclusion

In conclusion, data is an invaluable asset for any organisation, but to unlock its full potential, it’s crucial to address common bottlenecks that may hinder its effectiveness.  

By implementing a clear data strategy, breaking down data silos, ensuring data quality, addressing resistance to change, and establishing strong data governance, you can transform your organization into a data-driven powerhouse. 

Obviously, these aren’t the ONLY reasons why working with data isn’t working within your organisation. But these are the most common reasons why!  

Stick around though, we may go more in-depth into your specific reasons soon as to why data isn’t working in your organisation!

Take a moment to assess your organisation’s data practices.  

Are any of the challenges mentioned in this blog post affecting your data initiatives? If so, consider taking steps to address them and unlock the full potential of data in your organisation.  

Fill out the form below to reach out if you have questions or need further guidance on any of these topics!

Let’s make data WORK! You need it to have a thriving business in 2024! 

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The Hidden Costs of Small IT and Data Teams

The Hidden Costs of Small IT and Data Teams

The Hidden Costs of Small IT and Data Teams:

How to Make Your Business Thrive Again 


 

From powering day-to-day operations to driving strategic decision-making, technology plays a pivotal role – and with this so does your IT and Data Management. 

However, not all businesses are equipped with the resources and expertise needed to manage their Data and IT effectively. 

Let’s explore the challenges faced by businesses with small IT and Data Teams and how you can help your business thrive again, with some small tweaks and a different approach.

The Downside of Small IT and Data Teams:

Inefficient Operations 

Small IT and Data teams often struggle to keep up with the demands of daily operations.  

Overloaded employees may find it challenging to respond promptly to issues, resulting in downtime and customer dissatisfaction. Productivity can take a hit, impacting the bottom line. 

Limited Expertise 

With small teams, it’s challenging to maintain expertise in every area of technology. This can lead to suboptimal technology decisions, outdated systems, and inadequate security measures. The risks associated with these gaps can be significant, including data breaches and compliance issues. 

Incomplete Data Management 

Effective data management is essential for business growth. Small teams may find it difficult to harness the full potential of their data. This not only hinders decision-making but also puts businesses at risk of losing valuable insights and opportunities. 

industry.

The Cost of Not Changing Your Ways:

Lost Opportunities 

Businesses with small IT and Data teams often miss out on valuable opportunities for growth and innovation. They may struggle to adopt new technologies or adapt to changing market conditions. This can result in stagnation and lost market share. 

Increased Costs 

Paradoxically, efforts to cut costs by maintaining small teams can lead to higher expenses in the long run. Inefficient processes, downtime, and costly emergency fixes can erode profitability. What initially seemed like a cost-saving measure can end up being a financial burden. 

 

How We Can Help You:

Expertise and Resources 

By partnering with the crew at Engaging Data, your business will gain access to a wealth of expertise and resources. Our team is equipped with specialised knowledge, cutting-edge technologies, and a deep understanding of industry best practices. 

Improved Efficiency 

Our services are designed to streamline operations and boost productivity. With responsive support and proactive maintenance, we ensure that your technology infrastructure runs smoothly.  

Say goodbye to frustrating downtime and hello to enhanced efficiency. 

Comprehensive Data Management 

We take data management seriously. Our approach includes robust security measures and compliance protocols to safeguard your data. We also help you unlock the potential of your data, turning it into a valuable asset for making informed decisions. 

 

To conclude, small IT and Data teams can unintentionally hamper business growth and incur hidden costs – this is not great!  

However, there is a way out.  

By partnering with the Data Nerds at Engaging Data, you can unlock the full potential of your technology infrastructure and data assets.  

Don’t let limitations hold your business back.

Let’s book in a call and help your business thrive in the digital age. 

Fill out the form below, let’s have a chat to discuss your limitations, problems and how we can overcome them together!

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Engaging Data Bites: VaultSpeed

Engaging Data Bites: VaultSpeed

Engaging Data Bites: VaultSpeed


 

Feast on Knowledge about VaultSpeed: Join this Engaging Data Bites Lunch and Learn!️ 

Are you hungry for the latest in data acceleration technology?  

Engaging Data is thrilled to invite you to an appetizing Lunch and Learn Webinar where you can dive into the world of VaultSpeed. 

About VaultSpeed –

VaultSpeed provides the fastest Data Warehouse Automation tool on the market. 

It is the only tool that provides a code-free approach to integrate and model different data from a multitude of sources and technologies, covering 2220 combinations. 

VaultSpeed combines the best automation, Data Vault modelling and cloud-native performance, and is the smart choice for companies that move their analytics infrastructure to the cloud. 

Why Should you Attend? 

  • Unlock VaultSpeed’s Secrets: Discover the magic behind VaultSpeed  
  • For Data Enthusiasts and Business Leaders: Whether you’re a data pro or a business decision-maker, this event is tailored to your needs. 
  • Optimize Data Operations: Learn how VaultSpeed can supercharge your data workflows, saving you time and resources. 
  • Interactive Q&A: Engage with our experts in a live Q&A session. Get answers to your most burning questions. 

Engaging Data Bites –  

Come and join us for this Engaging Data Bites Session with VaultSpeed! 

  • Date: 22nd November
  • Time: 12:30pm – 13:30pm GMT
  • Location: Online Webinar, hosted on Microsoft Teams