Skip links

Unlocking Growth: A Holistic Approach to Digital Business Transformation

Jump To Section

Many companies are still grappling with the complexities of transitioning to a seamless digital business model.
Digital Business Methodology

Many companies are still grappling with the complexities of transitioning to a seamless digital business model. Organizations need to be able to drive this transformational change with speed, consistency, and at scale to ensure they stay ahead of their competition. Often, companies are averse to undertaking change, are worried about cost, disruption to the business, or having the right skills and tools to succeed. These concerns are not unfounded, reasons why digital business transformation fall short of expectations include:

  • Lack of a single source of truth (SSOT)
  • Absence of a business-led approach focused on outcomes
  • Lack of a cloud-based digital business platform (DBP)
  • Pursuing transformation with a big bang approach rather than an incremental one
  • Failing to adopt an agile digital culture

A successful digital transformation is centered on a more agile and pragmatic approach that focuses on bite-sized outcomes that are essential to accelerating business growth. The solution is a unique approach of employing a DBP which enforces a digital business methodology (DBM) across the enterprise for consistency and scale. Companies can achieve meaningful results within eight-to-ten weeks in a highly cost-effective manner.

Digital Business Methodology

DBM is a holistic approach to business growth that is a more effective path than other alternatives. It is an outcome-driven, incremental approach that focuses on delivering results across the enterprise with speed, consistency, and scale. It is business led in collaboration with key stakeholders from ideation to deployment to optimize outcomes with a focus on simplification of end-to-end workflows through a SSOT.

DBM is a guided, adaptable ideation-to-deployment ecosystem that enables business owners, engineers, analysts, and scientists, and operational teams to collaborate seamlessly to achieve outcomes and drive innovative solutions. It is designed to enhance the current business operations without disrupting them, unlocking unlimited opportunities for growth.

Digital business can be done on its own without disrupting the current business with an initial start in parallel to current ecosystem and can then scale up. The DBM also establishes strict governance in terms of engineering rigor, quality, security, compliance (audibility, and traceability), and cloud services – ensuring that companies can operate with higher productivity and predictability.

Digital Business Platform

Enterprises face multiple challenges when creating a cloud-based DBP within their existing technology environment. These challenges include:

  • Optimizing cloud adoption
  • Delivering a cloud self-service capability
  • Building at scale
  • Creating an end-to-end DevSecOps environment
  • Leveraging new cloud technologies effectively
  • Tracking costs in real time
  • Failing to utilize a SSOT
  • Taking an end-to-end data/product engineering approach
  • Having core and domain architecture
  • Providing centralized reusable assets
  • Creating and consumption of self-service functions

A cloud-native application development platform offers a simplified end-to-end collaborative environment that is independent from the existing complex, siloed environments. It empowers users through self-service with automated governance via policy blueprints integrated into the engineering ecosystem. It reinforces an agile culture with intelligent DevOps pipelines and eliminates the complexity of discrete technology environments by harmonizing business functions across the enterprise into a SSOT.

The DBP establishes and applies end-to-end industry best practices in relation to security, compliance (audibility and traceability), quality, reliability, and observability. It creates a service catalog providing reusable playbooks, components, and assets with governance for higher productivity.

The DBP enables a continuous learning culture with real-time productivity and predictability dashboards to measure organizational and team level-maturity. It also allows implementation of the DBM across the enterprise with end-to-end visibility, consistency, and scale. Cost is optimized with access to detailed metrics, monitoring, and FinOps.

Implementing a DBM Within the Current Technology Environment In Three-to-Twelve Months

Typically, companies take a piecemeal approach to digital business enablement by leveraging simplification and self-service. A holistic strategy encompasses an overall assessment of the current architecture, tools, and techniques, understanding the value of cloud adoption; and focusing on data and product engineering.

The DBM addresses challenges companies face with a focus on cloud strategy adoption, technology fluency, toolchain and cloud service optimization, governance, overall architecture, proactive cost analysis and controls, and self-service for scale. It establishes an end-to-end software delivery lifecycle, fully automated infrastructure provisioning, access management, data ingestion pipeline, DevSecOps, orchestration and self-provisioning of all functions.

This happens in a collaborative environment with governance through rationalization of both existing tools and new data technologies like Snowflake.

The hybrid data mesh architecture for enhanced data, discovery, accessibility, speed, performance, and standard prices. Another benefit is a self-tracking, central and separate core data engineering, and domain-based self-service environment for analysts and scientists.

Operational inefficiencies are identified and eliminated with the adoption of end-to-end system observability, the automation of runbooks, and self-healing systems.

New technology like Snowflake allows separation of the consumption layer for businesses and AI/ML in the domain area. This also segregates the costs, and this traceability helps drive operation rigor. For domain companies can leverage AWS/Azure cloud.

Working closely with a company’s engineering teams, analysts, and scientists typically operate within two use cases. The first focuses on delivering business outcomes with speed and consistency in partnership with a customer’s business through an agile and DevOps lens, and creation of a SSOT. The second utilizes smart machine learning analytics and appropriate algorithms to create better predictive tools and forecasting. This involves joint investment to deliver results in eight-to-ten weeks.

Parallel to this, capability centers, expertise in cloud, DevSecOps, engineering teams across data/product, cloud, and site reliability converge with an end-to-end perspective to conduct assessments, provide recommendations, and provide a pathway for overall architecture, governance, automation, and self-service. This approach is adaptable within the current environment based on the company’s size and maturity. This can deliver outcomes within two- to-ten weeks with a joint investment.

The unique combination of a DBM and DBP enables enterprise level adoption, collaborative culture, and scale through agile engineering. The solution includes engaging business teams, taking an agile approach, and adopting a DBM enforced by a DBP in the cloud. This combination is a powerful formula to create sustainable change, outcomes, and growth in three-to-twelve months depending on a company’s digital maturity and technology complexity.

Altimetrik has successfully taken this approach with many of our clients to be more effective in data and product engineering for unlimited growth.

Picture of Raj Vattikuti

Raj Vattikuti

Raj Vattikuti is an American-Indian entrepreneur, business executive and philanthropist. He is the Founder and Chairman of Altimetrik Corp. He is also the founder of Vattikuti Foundation. through which he is involved in many charitable causes.

Latest Reads


Suggested Reading

Ready to Unlock Your Enterprise's Full Potential?

Vikas Krishan

Chief Digital Business Officer and Head of the EMEA region

Vikas (Vik) Krishan serves as the Chief Digital Business Officer and Head of the EMEA region for Altimetrik. He is responsible for leading and growing the company’s presence across new and existing client relationships within the region.

Vik is a seasoned executive and brings over 25 years of global experience in Financial Services, Digital, Management Consulting, Pre- and Post-deal services and large/ strategic transformational programmes, gained in a variety of senior global leadership roles at firms such as Globant, HCL, Wipro, Logica and EDS and started his career within Investment Banking. He has developed significant cross industry experience across a wide variety of verticals, with a particular focus on working with and advising the C-Suite of Financial Institutions, Private Equity firms and FinTech’s on strategy and growth, operational excellence, performance improvement and digital adoption.

He has served as the engagement lead on multiple global transactions to enable the orchestration of business, technology, and operational change to drive growth and client retention.

Vik, who is based in London, serves as a trustee for the Burma Star Memorial Fund, is a keen photographer and an avid sportsman.

Megan Farrell Herrmanns

Chief Digital Officer, US Central

Megan is a senior business executive with a passion for empowering customers to reach their highest potential. She has depth and breadth of experience working across large enterprise and commercial customers, and across technical and industry domains. With a track record of driving measurable results, she develops trusted relationships with client executives to drive organizational growth, unlock business value, and internalize the use of digital business as a differentiator.

At Altimetrik, Megan is responsible for expanding client relationships and developing new business opportunities in the US Central region. Her focus is on digital business and utilizing her experience to create high growth opportunities for clients. Moreover, she leads the company’s efforts in cultivating and enhancing our partnership with Salesforce, strategically positioning our business to capitalize on new business opportunities.

Prior to Altimetrik, Megan spent 10 years leading Customer Success at Salesforce, helping customers maximize the value of their investments across their technology stack. Prior to Salesforce, Megan spent over 15 years with Accenture, leading large transformational projects for enterprise customers.

Megan earned a Bachelor of Science in Mechanical Engineering from Marquette University. Beyond work, Megan enjoys playing sand volleyball, traveling, watching her kids soccer games, and is actively involved in a philanthropy (Advisory Council for Cradles to Crayons).

Adaptive Clinical Trial Designs: Modify trials based on interim results for faster identification of effective drugs.Identify effective drugs faster with data analytics and machine learning algorithms to analyze interim trial results and modify.
Real-World Evidence (RWE) Integration: Supplement trial data with real-world insights for drug effectiveness and safety.Supplement trial data with real-world insights for drug effectiveness and safety.
Biomarker Identification and Validation: Validate biomarkers predicting treatment response for targeted therapies.Utilize bioinformatics and computational biology to validate biomarkers predicting treatment response for targeted therapies.
Collaborative Clinical Research Networks: Establish networks for better patient recruitment and data sharing.Leverage cloud-based platforms and collaborative software to establish networks for better patient recruitment and data sharing.
Master Protocols and Basket Trials: Evaluate multiple drugs in one trial for efficient drug development.Implement electronic data capture systems and digital platforms to efficiently manage and evaluate multiple drugs or drug combinations within a single trial, enabling more streamlined drug development
Remote and Decentralized Trials: Embrace virtual trials for broader patient participation.Embrace telemedicine, virtual monitoring, and digital health tools to conduct remote and decentralized trials, allowing patients to participate from home and reducing the need for frequent in-person visits
Patient-Centric Trials: Design trials with patient needs in mind for better recruitment and retention.Develop patient-centric mobile apps and web portals that provide trial information, virtual support groups, and patient-reported outcome tracking to enhance patient engagement, recruitment, and retention
Regulatory Engagement and Expedited Review Pathways: Engage regulators early for faster approvals.Utilize digital communication tools to engage regulatory agencies early in the drug development process, enabling faster feedback and exploration of expedited review pathways for accelerated approvals
Companion Diagnostics Development: Develop diagnostics for targeted recruitment and personalized treatment.Implement bioinformatics and genomics technologies to develop companion diagnostics that can identify patient subpopulations likely to benefit from the drug, aiding in targeted recruitment and personalized treatment
Data Standardization and Interoperability: Ensure seamless data exchange among research sites.Utilize interoperable electronic health record systems and health data standards to ensure seamless data exchange among different research sites, promoting efficient data aggregation and analysis
Use of AI and Predictive Analytics: Apply AI for drug candidate identification and data analysis.Leverage AI algorithms and predictive analytics to analyze large datasets, identify potential drug candidates, optimize trial designs, and predict treatment outcomes, accelerating the drug development process
R&D Investments: Improve the drug or expand indicationsUtilize computational modelling and simulation techniques to accelerate drug discovery and optimize drug development processes