Stay ahead of market pressures, maintain control and build agility as you address ongoing challenges to your digitized operations with KR.
Hatha Systems, with its patented Knowledge Refinery® (KR) platform, provides a unique solution mandatory for today’s digital transformation efforts, whether staying on premise or moving to the cloud. KR bridges business/operational and technical layers to deliver a comprehensive understanding of the complex and large scale operations residing in your software. Leverage KR to enhance operational effectiveness, improve customer experience, and reduce cost and risk.
Know Your Environment
When 80-95% of your operations is digitized, having transparency into that operational software is critical to reducing your risk and cost burdens. Growth and profitability depend on ensuring your business operations have the agility to quickly adjust to support customer demands, new regulatory-resilience requirements, and market pressures. Whether your digital operations are in the cloud or on premise, retrieving and documenting the entire body of knowledge is critical to agility. See how KR’s transparency gives you the knowledge to handle your challenges:
- Legacy Data + App Modernization
- Applications + Data Cloud Migration
- Operational Resilience
- Post M&A Integration
- Audit + Compliance
- AI Adoption
The Challenges of Legacy Modernization Include:
- Poor documentation of both legacy operations and legacy applications and data structure running them;
- Inability to accurately plan migration due to a lack of understanding of the gap between current state and required future state of operations, introducing significant risk to successful outcome; and
- Inability to accurately and comprehensively verify post modernization results to ensure business (including data) requirements are met while resilience of critical operations are documented.
The precision KR AI Engine delivers is essential to accurate Legacy Application and Data Modernization.
With KR Applied: you have transparency required to create a baseline for your migration, trace progress, and verify the end result.
KR APPLIED to Legacy Modernization Challenges:
KR AI Engine uniquely delivers— for the first time— a comprehensive and accurate baseline of your ‘as is’ state to ensure a clear understanding of what to keep, what to remove, what to change, and what is missing. This applies for both legacy Data and Legacy Application(s) projects or a combination of both. Whether approaching your transformation project as a greenfield effort or a migration, understanding current state enables your organization to ensure valuable operations are not dismissed, thus reducing project waste and any unanticipated project cost.
For a legacy Modernization, creating an ‘as is’ baseline and assessment provides a foundation for developing an accurate plan of action with risks and dependencies that are well-understood. During the follow-on transformation phases, the oversight and measurement of milestone results are under your control while transformation milestones are accomplished by the DevOps or Data team. KR AI Engine enables verification of milestones and ensures the final migration is accurately implemented to meet both technical and operational requirements. Lastly, using the KR AI engine, you can baseline the ‘to be’ system ensuring that risk and resilience measures are documented, verified, and reported on an ongoing basis for proof of operational rigor across your digitized operations.
The Challenges of Applications and Data Cloud Migration:
- Driving cloud migration based on business operations need rather than technology platform-based decisions;
- Ensuring flexibility and agility of migration and sustainment of business operations in the cloud; and
- Obtaining an accurate and detailed understanding of the application and data landscape, including dependencies, duplications, risks, and priorities.
The precision KR AI Engine delivers is essential to accurate Application Cloud Migration.
With KR Applied: you get cleanly executed migration to sustain operations in a complex mixed environment
KR APPLIED to Application Cloud Migration Challenges:
Knowledge Refinery is uniquely qualified to address application and data migration to cloud. It delivers comprehensive documentation of current digitized operation (“ground truth”) to identify the portfolio of applications and data (data at rest and data in motion). The views include dependencies, risks, duplication, and priorities across both on-premise and cloud targeted applications and data, as a critical first step. This “ground truth” is leveraged to quickly, accurately and at scale, assess current state for planning of migration. A combination of business/technical architecture, business workflow, data (at rest and in motion), and the underlying technical implementation provides a unique opportunity to decide which applications and data belong in the cloud and which stay on premise, based on business/operational need. The analysis also helps quickly determine what to keep, remove, change, and what is missing as move to cloud is planned within application or data. This combined effort of portfolio analysis, intra-application analysis and comprehensive data analysis delivers a much more streamlined operation while providing a foundation for control and agility to your overall digitized operation.
The Challenges of Operational Resilience Include:
- Regulators are expanding resilience requirements to include critical digitized business operations for resilience reporting—with anticipated penalties on the horizon;
- Digitized operations (80-95% of all operations) have been impossible to trace and document without transparency; and
- There is a knowledge gap due to the lack of traceability of business workflow and data lineage, and their link to underlying technical mechanisms, making it impossible to deliver proof of resilience.
The precision KR AI Engine delivers critical traceability to accurate Operational Resilience.
With KR Applied: you get cleanly executed migration to sustain operations in a complex mixed environment
KR APPLIED to Operational Resilience Challenges:
KR AI Engine has the unique capability to deliver the transparency and traceability required to prepare your resilience reporting requirements. With as much as 80-95% of operations running in software, the need for proof of resilience across your critical digitized operations is impossible without KR AI Engine. KR’s ability, to present digitized business workflows, data lineage (e.g. data-in-motion and data-at-rest) with traceability to the underlying software mechanisms, is unprecedented, delivering proof that no other platform has achieved. The accuracy, scale, and traceability required for resilience reporting is only achieved through the use of our patented KR AI Engine.
The Challenges of Post M&A Integration Include:
- Duplicate operations from decades of M&A efforts plague efficiency and effectiveness of digitized business operations;
- Undocumented or misunderstood duplications (whether workflow or data lineage) make it difficult to consolidate/retire redundancies across application portfolios and business data; and
- Without transparency, organizations cannot address the higher risk and costs they carry from duplication across digitized business operations.
The precision KR AI engine delivers is essential to accurate Post M&A Integration.
With KR Applied: you get efficiently integrated applications and data to accurately execute business operations
KR APPLIED to Post M&A Integration Challenges:
Whether fully integrated or not, post M&A operations with its duplications are challenging to any organization. They affect the cost of operations, cost & complexity to maintaining digitized operations, both of which, in turn, can add risk & penalty due to non-compliance and lack of resilience. KR AI Engine is unprecedented in its extraction and documenting of duplicate business workflow and data across your digitized operations. Leveraging our KR Rationalizer in conjunction with our KR AI engine, comparisons across workflow and data enables quick and scalable identification of duplicates to address methods of consolidation since they are also traceable to the underlying technical implementation. These views enable quick assessment of which implementation is better to meet operational efficiency and resilience/compliance requirements.
Today, this effort is neither cost effective nor feasible without significant manual engagement which introduces error as well as risk of poor or inaccurate implementation. In a complex and heterogeneous environment, the ability to automate the process of extraction and understanding ensure a methodical/planned approach to executing a clean-up and integration plan. This also applies to carveouts in a business sell-off situation.
The Challenges of Audit + Compliance Include:
- Keeping pace with and delivering comprehensive audit/compliance reports to regulators has become unwieldy in the ever-expanding and accelerating digitized operations;
- Regulators have started to demand documented proof to better trace and verify compliance and audit requirements against business workflow and data; and
- Lack of traceability has created difficulties in retrieving documented proof, resulting in both penalties and suspensions from regulators.
The precision KR AI Engine delivers is essential to accurate Audit + Compliance.
With KR Applied: you get comprehensive traceability across your digitized business operations for speedy and accurate audit and compliance reporting
KR APPLIED to Audit + Compliance Challenges:
KR AI Engine is unique in its ability to deliver compliance and audit needs through the traceability of workflows and data, including data-in-motion and data-at-rest, across your digitized operations. These unique views deliver precise and traceable reporting results for organizations to provide the appropriate documentation for the completeness across both human- and software-run (digitized) operation. Since human-run operations can be imported or captured in KR as well, the repository becomes a permanent place of knowledge which can be updated based on operational update schedules, whether in software or human-run.
The Challenges of AI Adoption Include:
- Determining which parts of your complex operational and data environment—a mix of human-run and software-run—will benefit from a move to AI and which need to stay in current implementation;
- Clearly defining boundaries between the AI and traditional parts of the operations;
- Correct input to reduce faulty output and ensure accurate AI implementation; and
- Understanding the existing technical debt to ensure AI-based operational effectiveness and accuracy of workflow and data.
The precision KR AI Engine delivers is essential to accurate AI Adoption.
With KR Applied: you have the required transparency for operational control and agility in the hybrid and evolving operational environment where AI can play a key role.
KR APPLIED to AI Adoption:
The predicted CAGR of AI (37% through 2030) is creating a high-pressure race to adopt AI to improve client experience and improve shareholder returns, but you cannot implement AI without an accurate operational blueprint of the current state, adequate process, and technical documentation.
KR provides the requisite level of transparency by delivering an integrated blueprint of workflow, data lineage (data-in-use, data-at-rest, and data-in-motion), and the underlying technical implementation that automates the two. This comprehensive extraction enables both an in-breadth and in-depth understanding of digitized operations and can be linked to human-run operations to ensure completeness.
KR helps you define the boundaries between AI and traditional systems with surgical precision. KR’s traceability ensures audit compliance and resilience factors are properly addressed across traditional implementations and as correctly defined input into AI, ensuring accurate and comprehensive reporting.
