Data

We firmly believe data driven organisations who treat data as an asset have a material competitive edge

The material competitive edge

Firms who maintain a fragmented approach to the management of data limit their ability to maximise returns of what should be considered a valuable commodity. We help our clients navigate and address common, yet often complex, data challenges, ranging from advising on Data Governance Frameworks, through to designing, selecting, and delivering data solutions.

Advisory & Assurance

Data Strategy Definition

We support our clients in defining, planning, and executing purposeful and well considered data strategies, ultimately becoming the basis for defining an appropriate Data Governance framework and its associated policies. A data strategy sets the firms data objectives and crucially creates linkages and traceability between the business’s goals and objectives. In turn, this allows firms to maximise ROI on its data, improve decision making through information, reduce risk, and remove unnecessary cost. We work with clients to develop a data strategy that is supported by an executable roadmap, allowing decision makers to track progress against objectives. Our goal is to position our clients to be proactive in driving their data strategy, rather than reactive or defensive.

Design

Data Governance Framework

An effective Data Governance programme enforces organisation-wide data standards, quality, and critically ensures trust in data. We help clients define an effective data governance framework that underpins all aspects of how data is governed throughout the organisation. We support senior stakeholders in defining, implementing, and embedding a 'data culture' that is bespoke to the organisation’s requirements. We advocate C-Suite being held accountable for an organisation’s Data Governance, helping drive a clear and executable Data Strategy.

Data Architecture

A clearly defined Data Architecture provides a blueprint for an organisation's data. We aid our clients in educating them on the importance of data architecture through our expertise, helping them define and design their data architecture, alongside providing external assurance depending on their needs. Our experience as industry data practitioners helps us assist organisation's with practical architecture aligned to their data strategy.

Data Operating Model

Considering data, technology, people, and process, we work with clients to define, assess, and implement target data operating models. We help firms in centralising management and mastering of investment data, using appropriate tooling to create a 'golden source' and ability to treat data as an asset. We help our clients to design and implement tooling that ingests, validates, and masters business critical data. Ultimately, this helps clients manage and maintain centralised efficient data sets, creating transparency of cost, value, usage, and security.

Delivery & Implementation

Data Vendor Review, Selection & Implementation

The landscape of data vendors is ever evolving in-line with the needs of businesses, vendor capabilities, volume and variety of data and the need for competitive advantage. Our extensive knowledge and experience of the data vendor landscape positions us to help our clients navigate the most suitable vendors based on our understanding of the clients needs. We support clients through vendor shortlisting and selection through to contracting and implementation. Our experience in defining and implementing robust oversight, governance and supplier management practices means our clients can be confident in their ability in onboarding and managing fit-for-purpose vendors.

Data Security and Risk Management

In today’s data-driven landscape, protecting sensitive information and ensuring data integrity are critical, but can be complex to navigate. We work with clients to assess, design, and implement data security frameworks tailored to their unique risk profiles. Our expertise covers data classification, encryption, access controls, and proactive risk mitigation strategies, allowing clients to operate confidently while safeguarding their most valuable data assets. By establishing comprehensive, yet proportionate, security measures and embedding robust risk management practices, we help firms not only meet regulatory requirements but also foster trust and resilience across their data ecosystems.

Challenges we address

Complexity of Data

Challenge: Firms often struggle with a complex technological environment, utilising a variety of systems that don’t communicate effectively with one another. Legacy systems, siloed platforms, and fragmented IT infrastructure lead to operational inefficiencies and data inconsistencies.

How we help: We support firms by designing scalable, integrated technology architectures. We help identify appropriate systems that work together seamlessly, allowing for greater agility, data integrity, and operational efficiency across all functions.

Data Quality & Integrity

Challenge: Financial institutions deal with vast amounts of data from multiple sources, leading to inconsistencies and quality issues that can impact decision-making and regulatory compliance.

How we help: Mirador offers data governance frameworks, data cleansing, and quality control processes. We implement data validation checkpoints and integrity checks to ensure data reliability, creating a foundation for trust in reporting and analysis.

Data Integration & Silos

Challenge: Different departments or systems may not integrate well, leading to siloed data. This can make it difficult for organisations to have a unified view of their operations and customers.

How we help: We assist by designing and implementing data integration strategies that harmonise data from various sources into a centralised platform. By using ETL (Extract, Transform, Load) solutions and APIs, we help break down silos, allowing for seamless data flow and improved insights.

Data Security & Compliance

Challenge: With stringent regulatory requirements like GDPR and industry-specific regulations, ensuring data privacy and security is paramount.

How we help: By conducting data risk assessments and implementing security protocols, Mirador supports clients in building secure systems that protect sensitive data. Regular audits and compliance frameworks help clients stay in line with regulatory requirements, reducing the risk of data breaches.

Client Outcomes

Clear strategic objectives
Data Governance frameworks which ensure quality, integrity, and accuracy of data
Industry and vendor market knowledge
Efficient operating model
Secure data systems which ensure compliance
Well defined technology architecture
Well governed supplier management process

Case Studies

Contact us

We look forward to speaking with you about our Data Practices