Digital transformation demands continuous modernization with agility and velocity at its core. However, the existing application inventory raises some key issues for organizations. For example, many legacy applications are business critical. Such applications contain vast repositories of valuable data and functions that are not built for digital business demand, need integration with other platforms and are possibly better suited to other platforms. Such aging systems need to be modernized to better support changing requirements and higher pace of change. Organizations increasingly want to get past the technical debt, aging technology, time required to respond business needs, costs and risks associated with change. Additionally, reduced or no support for the platforms and skills shortage make such systems ripe targets for application modernization. Organizations are also incorporating new data sources into their information governance organization and process, surveying business users at all levels to determine data that would be useful to them, and changing business processes to achieve the required level of trust. However, they need navigate carefully to avoid crossing the “creepy line” when building acquisition and matching capabilities across internal master data and external datasets.
Architectures and development processes are also evolving in enterprises to include a mix of in-premise and cloud infrastructure, internal and external data sources, big data storage and application frameworks, and legacy and new-age applications such as streaming analytics, machine learning applications, neural networks, big data visualization tools, and agile process-driven environments. Organizations are augmenting traditional IT and applications teams with new cloud management teams. Most largescale enterprise environments will use mixed cloud models. For example, using PaaS for innovation, public PaaS for agility, hosted or dedicated PaaS to address privacy concerns, and private PaaS to fully control the outcomes. The traditional strategies for moving applications to the cloud such as re-hosting, rebuilding, or replacing, are now augmented with emerging strategies like reimagining (as multi-enterprise, multi-tenant, SaaS applications) that leverage the cloud as a vehicle for next big things such as supporting AI, Blockchain, digital and algorithmic business applications.
Data Integration tasks need to run “anywhere”. For example, they can divide processing and distribute data transformation workloads in Hadoop, cloud and IoT ecosystems. In the near future, the demand to blend all integration styles will increase: batch, virtual, message, replication, synchronization, streaming. Additionally, there is increasing demand for smart metadata driven development and introspection. Organizations want to create the required view via well-managed data governance and integration processes that use canonical forms of all data.
A continuous and well-planned set of projects is needed for such platform readiness. Typically, ripping and replacing whole systems is too costly, risky, time-consuming and have a high impact to the business. Also, we cannot wait for everything to be transformed or modernized. It is hard to predict and design services upfront – a continuous business-driven modernization to design, develop, and deploy such services is required. Enterprises are implementing continuous modernization with a dedicated modernization team working alongside product and platform teams. These approaches are determined on a case-by-case basis to select the optimal step, i.e., encapsulate, re-host, re-platform, refactor, extend, rebuild, replace, etc. Platform rationalization initiatives need to combine design thinking, lean methods and agile processes. Design thinking provides the primary foundation for human-centered design process that is based on observations, engagement and immersion. Enterprises are evolving environments for continuous innovation by combining hypothesis-driven development and agile delivery towards better understanding of the business model and shorter lead times from idea to release.
Strategy Mapping and Assessment
In this stage, Veristorm sets the stage with key stakeholders in your organisation to define the scope, objectives and deliverables fir the business, based on our expertise in the data integration use cases in your industry. A strategic program map and project plan are developed to support interim and ultimate business objectives.
Business Case Development
In collaboration with program sponsors, this phase involves Veristorm's consultative approach of identifying and verifying the business justification for proposed solutions as well as an appraisal of the associated costs, risks, and returns in the recommended investments. This allows for the program feasibility and value determination.
Program Maturity Analysis
Veristorm then benchmarks the existing data integration platform against industry best standards to examine its inherit functional capabilities, so as to ascertain and make calculated recommendations with opportunities for any potential performance improvement program expansion as well as related investments.
Pilot Project Implementation
After the scope has been defined and benchmarking against existing technology and methods has been completed, Veristorm applies a combination of proprietary (vStorm Enterprise Platform) and open source technology platforms to fit your organization's requirements, targeted to optimal business outcomes.
Functional Performance Validation
Veristorm will lead a thorough performance validation to ensure system functionality and efficacy against anticipated program performance. We help define metrics source directly form the vStorm Enterprise platform and identify alternative means for data mining as needed, so as to ultimately create a plan of ongoing analytics that will bring the greatest value to your business.
Blueprint for Operationalization
The final step is the handoff to Veristorm's Implementation team, your organization's own internal Operations team, or an established service partner to deploy the program into production to be sustained and managed on an ongoing basis. We deliver a long-term strategy to operationalize the blueprint created for your business for technology, process and support.