Advisory
Advisory
Our Clients come to us to for pragmatic advice and for us to help them define and implement cost effective solutions that enable their businesses to solve complex issues underpinned by data.
Optimized Data Backbone: The Data Bus – Data In Motion
At Kaaripa, we under understand the full spectrum of issues surrounding the data space including regulation, compliance, technology, security, data governance and management security. This includes consultants in our delivery streams focused on Big Data and Cloud Computing architectures.
Our Advisory service is focused on building a partnership to understand your requirements so we can define and deliver relevant and cost effective solutions, whether the change is focused on the organisation, data, technology or a blend of all three.
The key focus of the Advisory service, helping you quantify and document the benefits case for the projects being delivered.
Data Strategy
Over the years our clients have had solve a number of serious data challenges quickly to avoid damage to the business or significant future spend if only tactically remedied.
Kaaripa has been able to help clients with:
Understanding and defining responses to regulatory requirements from a data perspective, including BCBS 239
- Definition of Data Policy, Standards and Governance Model
- Definition of the Data Strategy Blueprint, TOM and Roadmap
- Reassessing Data Policy and redefining the Data Strategy Blueprint and TOM for merger and acquisition activity
- Designing programmes of change to resolve data, process and reconciliation inconsistencies introduced over time
- Deep-dive current state assessments of the application landscape and data usage
Often organisations seek a quick, cheap and easy tactical solution to address data challenges. When these efforts fail, big and costly programs are initiated but tend to deliver just enough to avoid a catastrophe. While every organisation is different, the ‘silver bullet’ is blend of optimized Data Policy, Data Governance and Data Architecture delivered using an effective Data Organisation.
Kaaripa can help you define and build the roadmap to data success.
Data Architecture (Enterprise & Solution)
Put simply, you can’t have good data without good data architecture, and good data is a key component of effective business processes.
How Kaaripa can help you?
Kaaripa has a wealth of experience in creating and maintaining the overall IT strategy and Architecture including conceptual models, principles, methodologies, high level business process, technical, data and application models. We can help determine opportunities to leverage across your company and enable continuous innovation. Our consultants have numerous examples of taking architectural strategy into a fully solution delivery integrated framework capable of realizing real benefits for the organization.
Key components in the Kaaripa offering:
Enterprise Data Model
Our consultants can help you implement an optimized model to foster common language and understanding throughout the organization of the major "things" within the business, how they relate to one another and how business data are represented across the IT landscape.
The end product, a multi-level model ranging from Enterprise Business Model to Enterprise Logical Model with options to link to Solution Logical and Physical Models.Metadata Repository (including support for 100% generation)
Our consultants can help you define and implement a metadata repository, to hold metadata describing how business data is defined and structured.
Our consultants can help you assess the current state of data in motion in your organization to drive the definition of a cleaner Data Bus solution.
It is essential to simplify and rationalise the mechanisms used to transport data around the organization. Like many, the vast numbers of interface technologies and point-to-point connections erode a significant amount of change budget.
Integrated Data Hub – Data at Rest
Our consultants can help you assess the current state of data at rest in your organisation and build stitching to the Enterprise Data Model. This universal view of the data aligned to the application estate and data-stores can then be used to drive strategic decisions on the deployment of data hubs.
In essence, business relevant data must be available with full history, in a cleansed, standardized, integrated and consolidated environment to support local, regional and global business needs.