Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

3 force multipliers for digital transformation

Many CIOs will face a challenging year grappling with growing pressure from transformation initiatives, weekly layoff announcements, and the prospect of a recession.

While digital initiatives and talent are the board directors’  top strategic business priorities in 2023-2024,  IT spending is forecasted to grow by only 2.4% in 2023. Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months.

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past.

Speed of delivery was the primary objective during the years leading into the pandemic, and CIOs looked to improve customer experiences and establish real-time analytics capabilities. During the pandemic, speed remained a priority as CIO shifted to automate workflows and improve employee experiences.

But 2023 is shaping up to be paradoxical, and after speaking to hundreds of CIOs over the past couple of years, I have been advising them to seek force multipliers in their digital transformation initiatives.

What are force-multiplying initiatives?

Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment. Examples are initiatives to improve both customer and employee experiences or others that deliver a combination of innovation and security enhancements.

Here’s an example of a non-multiplying initiative; a sequential phased delivery familiar to CIOs. Some IT organizations elected to lift and shift apps to the cloud and get out of the data center faster, hoping that a second phase of funding for modernization would come. But the faster transition often caused underperforming apps, greater security risks, higher costs, and fewer business outcomes, forcing IT to address these issues before starting app modernizations. A force-multiplying approach would consider several objectives and recognize that a speedy cloud transition may cause a longer, more expensive transformation.

So what should CIOs look to do today to drive digital transformation, identify force multipliers, and define initiatives that enable smarter, safer, and faster business outcomes? I’ll be covering more examples of force multipliers in upcoming articles, and here are three to start that should apply to most CIOs and their IT organizations.

Agile for hybrid teams optimizing low-code experiences

The agile manifesto is now 22 years old and was written when IT departments struggled with waterfall project plans that often failed to complete, let alone deliver business outcomes. Today, many CIOs must determine which agile tools to use and where to create practice standards.

Assemble a team of Scrum coaches, and they’re likely to debate how much empowerment self-organizing teams require, when to estimate user stories, and whether sprints remain relevant when devops teams are automating deployments with CI/CD.

While many organizations are successful with agile and Scrum, and I believe agile experimentation is the cornerstone of driving digital transformation, there isn’t a one-size-fits-all approach. The organization’s size, types of programs, compliance requirements, and cultural readiness are just a few of the key variables requiring consideration.

Several overlooked variables can help propel agile practices as digital transformation force multipliers.

  • Transition from daily standups to hybrid virtual ceremonies. One of the common complaints agile team members voice is the number of coordination meetings and time spent in them. CIOs should consider technologies that promote their hybrid working models to replace in-person meetings. Scrum masters can use Slack or Microsoft Teams to replace some standups, while agile team leaders can record virtual sprint reviews so teammates and stakeholders can review them at times convenient to them.
  • Apply agile when developing low-code and no-code experiences. People still associate agile as primarily a software development practice, yet many organizations use Kanban and Scrum in marketing and other department workflows. CIOs looking to close cultural and practice gaps between business stakeholders and IT can apply agile methodologies to citizen development (no-code) and low-code app development as a bridge that unifies vision and practices.

The key for CIOs is finding their organization’s agile way of working and aligning it with other efforts that expand technology capabilities beyond the IT department.

Align data science and data governance programs

Remember when infosec was brought in at the end of the application development process and had little time and opportunity to address issues? Devops teams now look to shift left security and implement continuous testing to develop more innovative, secure, and reliable features from the start.

There are similar concerns for CIOs looking to build data and analytics capabilities.

In pursuing a data-driven organization, CIOs will likely have centralized data scientist teams developing machine learning models, data analysts using self-service business intelligence tools, and a myriad of spreadsheets still used in operating functions. Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.

CIOs seeking a force multiplier will merge dataops, data science, and data governance initiatives by creating multidisciplinary agile data teams and aligning on business objectives.

Here are some force-multiplying differences achievable by agile data teams:

  • Want that dashboard, then update the data catalog.
  • Release an updated data viz, then automate a regression test.
  • Integrate a new data source, then scan and mask the data for personally identifiable information.

Achieving the data visualization or building an ML model without applying data governance best practices introduces risks and grows technical and data debt.

AIops that improves performance on more apps

One study reports that global custom software development will reach $85.9 billion by 2028, rising at a market growth of 20.3% CAGR.

I can’t imagine IT operations teams will keep up with this growth while increasing app reliability, performance, and security without using automation and machine learning capabilities. AIops platforms that centralize observability data, correlate monitoring alerts, and enable automated response can be a digital transformation force multiplier for enterprises with too many apps and too few people in the network operations center (NOC) responding to incidents.

These are three of my example force multipliers that every organization driving digital transformation should consider. The pressure to do more with less, drive faster and smarter business outcomes, and enable safer innovations won’t let up anytime soon.

Digital Transformation
Read More from This Article: 3 force multipliers for digital transformation
Source: News

Category: NewsMarch 7, 2023
Tags: art

Post navigation

PreviousPrevious post:New Oman-Australia undersea cable promises alternate, reliable routeNextNext post:Generative AI to be a key priority for senior IT leaders: Salesforce report

Related posts

Barb Wixom and MIT CISR on managing data like a product
May 30, 2025
Avery Dennison takes culture-first approach to AI transformation
May 30, 2025
The agentic AI assist Stanford University cancer care staff needed
May 30, 2025
Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
May 30, 2025
“AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
May 30, 2025
“ROI는 어디에?” AI 도입을 재고하게 만드는 실패 사례
May 30, 2025
Recent Posts
  • Barb Wixom and MIT CISR on managing data like a product
  • Avery Dennison takes culture-first approach to AI transformation
  • The agentic AI assist Stanford University cancer care staff needed
  • Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025
  • “AI 비서가 팀 단위로 지원하는 효과”···퍼플렉시티, AI 프로젝트 10분 완성 도구 ‘랩스’ 출시
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.