Our Approach

See how our complete client onboarding solution can help you to onboard clients quickly, manage regulatory compliance effectively, and improve operations, risk management and customer service –
delivering an accurate, real-time single view of your client across your organisation.

4 Steps of Data Management


True end-to-end client data management across the full client lifecycle involves strategically transforming and then executing both onboarding and maintenance processes, as well as a sustainable data governance overlay.

At iMeta we help our clients analyse how their own client data is currently sourced, ingested, validated and distributed to relevant business systems. Additionally, through a rigorous Create Read Use Delete (CRUD) analysis, identification of who uses the data and how it is used across business processes is an essential exercise. These foundational activities enable the establishment of a sophisticated plan for the best possible use of client data when defining an end-state target operating model.

iMeta proven

Cleanse:

Legacy data must be cleansed (remediated) in order to create one and only one true record for each client. Data cleansing will not be effective unless a systematic procedure to correct or even entirely remove both superfluous and inaccurate information from the data set is carried out.

iMeta Accountable

Classify:

After the data has been remediated, it is imperative to classify every client, counterparty and account; in line with both the firm’s business profile for each customer and in terms of possible regulations that may impact the conduct of business with each customer, such as KYC/AML, FATCA, OTC Derivatives Reform etc.

iMeta Reliable

Consolidate:

Once the required set of client data has been cleansed and classified, it needs to be consolidated, such that the data-set under ongoing management is as lean and mean as it can possibly be. Managing a consolidated data-set eliminates redundant or duplicative processes; thereby allowing for optimal operational use of a firm’s data specialist resource, i.e. for exception handling as opposed to core processing.

iMeta Performance

Configure:

Now that the operational data-set is ready, the next step is to configure the business rules that will operate against the data, for purposes of verification, validation and integration. Rules need to be created to detect data anomalies (duplicates etc.) and validate the quality of the reference data itself. Additionally, the data needs to be delivered to the right place, at the right time for its specific business use. The integration and delivery rules relating to what data goes where, and when, will be determined and configured.

Pathway to Deployment

We want to make iMeta CLM work for you. We configure each of our clients projects to specifically suit their needs. We know that every firm has different systems that need integrating, processes that need following and data that requires remediating. We work very closely with your teams to ensure that the strategy is correctly applied and deadlines are completed on time and within budget. Working with the iMeta team is easy. We have a proven process for the project journey; from initial engagement, where we discuss your requirements and map a proposal, to Discovery; where we identify and plan the project, through to implementation, training and go-live.
We would be happy talk you through our process to address your bespoke needs.

iMeta Pathway Graphic

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How we work


By employing expert people, who understand customer requirements, and by using
best practice methods and robust technology;
we deliver a solution that works and fits with existing IT and business strategies

Expert People

The experience of the iMeta delivery, implementation and support teams, combined with our banking and finance heritage, provides us with a deep and wide knowledge base. We care about the software we write, and we value how our customers use our software; so we can deliver the expected value, benefits and results

Understand Customer Requirements

We have experienced teams who work closely with our customers and listen to their issues. They gather detailed project specifications and understand the processes and implementation required. A solution is then mapped out and approved that fits all the requirements. Strong relationships are built with our customers, based on trust and transparency; so we can deliver a first class service which is value for money

Best Practice

Best practice methods are used to reduce risk and ensure we deliver on time and within budget. Customers are given full visibility of progress with regular reviews, supported by web based tools. Each project is driven by a dedicated project manager, using proven methodologies, to ensure the project plan is adhered to

Robust Technology

With wide experience across different technology platforms, we use appropriate, robust technology to create feature rich solutions that help our customers perform their data management easily. Key to this success is our development capability to integrate with customers’ in house technologies; to deliver clean data and seamless workflows

This approach is supported by our award winning ‘innovation culture’ which values, promotes and rewards:

A ‘can do’ attitude
Going the extra mile
Project ownership
Imagination
Commitment
Transparency