This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Providing a compelling ROI on technology initiatives also puts CIOs in a stronger position for securing support and funds from the business for future projects. Deploy scalable technology.
Generative AI (GenAI) is reshaping how businesses operate, offering unprecedented opportunities for greater efficiency, streamlined operations, revolutionized customer service, and enhanced decision-making. But alongside its promise of significant rewards also comes significant costs and often unclear ROI. million in 2025 to $7.45
Additionally, Deloittes ESG Trends Report highlights fragmented ESG data, inconsistent reporting frameworks and difficulties in measuring sustainability ROI as primary challenges preventing organizations from fully leveraging their data for ESG initiatives.
It prevents vendor lock-in, gives a lever for strong negotiation, enables business flexibility in strategy execution owing to complicated architecture or regional limitations in terms of security and legal compliance if and when they rise and promotes portability from an application architecture perspective.
Organizations should embrace value-based decision making that focuses on the businessobjectives and that benefits for the various stakeholders (technology, operations, procurement, finance, security, data analytics, environment, etc.) Transitioning to Business Value . Obtaining more insight into hidden costs (e.g.,
While you may have learned about generative artificial intelligence (AI), you may not know what it means for the future of Finance and Accounting (F&A). For F&A leaders, this means that it may have the ability to transform financial data, such as business performance reports, commentary and narratives.
Managing disputes At the conference, SAP introduced two initial collaborative agent use cases for the finance sector: dispute management and financial accounting. At what scale do they provide a positive ROI?” He also has questions about the two use cases being unveiled, noting that the announcement is short on details.
Define clear objectives and secure executive buy-in Articulate challenges and benefits: Communicate the challenges posed by legacy applications and the potential benefits of APMR. Quantify ROI: Provide a detailed return on investment (ROI) analysis to gain leadership support.
Business intelligence implementation is not an easy task, as it requires a lot of preparation work beforehand, gathers many different actors, and will involve expenses. But the rewards outperform by far its costs, and it is well known that business intelligence ROI is real even if it is sometimes hard to quantify.
Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and businessobjectives. The FinOps framework is helping organizations to obtain the best ROI for their cloud transformation.
Data-driven decisions: Leverage data and analytics to assess new technologies’ potential impact and ROI. Cross-functional collaboration: Engage diverse stakeholders and foster external partnerships to align with business goals and stay at the forefront of technological advancements.
Connecting systems with RPA may be trivial, but it has very limited ROI until the business is ready to break the silos and redesign end to end processes. Going after full ROI moves an IA program from a technology play into technology + change management.” – Maxim Ioffe | Global Intelligent Automation Leader, WESCO.
CIOs must also account for the criticality and timing of each business process, from front-office processes such as sales and customer service to back-office processes such as operations, human resources and finance. Idle personnel, employee morale and reputation costs that are not easily definable in dollars can bring down a business.
Rather is the sales department, customer service, logistics, or finances, this specific report type help track and optimize performance on a deeper level. They convey information between team members and departments to keep communication flowing regarding goals and businessobjectives.
Many organizations approach cloud cost optimization strategy and implementation by employing a cross-functional FinOps team—one with members from IT, finance and engineering—to bring financial accountability to the cloud. Optimize: The second phase is about optimizing the cloud footprint. There are multiple ways to optimize.
To solve this, we use data science tools to identify the right leading indicators across the different levers that we can pull to support faster decisions—using methods that establish causation to the larger businessobjectives of their clients.
So with this data revolution, you know, gaining so much momentum, you know, and everybody investing in analytics, and with ROI also becoming more and more tangible, how is the charter of GICs really changed? Venkat: Got it. Because, you know, it seems like across industries, a lot of enterprises are setting up GICs across the world right.
One key factor to set up the right automations is to match them to the right businessobjective. For example, companies looking to automate in order to reduce headcount or labor costs might miss the main objective: to improve customer service and grow the business. Forgetting this can be a big mistake.
The very first slide, "Profit: The Ultimate Client Need", shares the key elements that need to function for the outcome (ROI) that causes companies to remain in business. Zach's effort is awesome for these key reasons: Really clear line of sight from BusinessObjective to Net Income.
I am a key member of the council responsible for formulating the companys business strategy and setting goals, followed by developing 1-year, 3-year, and 5-year plans. This ensures that our technology roadmap is fully aligned with our overarching businessobjectives and fosters a continuous cycle of innovation and efficiency.
By assessing the total cost of ownership (TCO) and the return on investment (ROI) for each system, organizations can make informed decisions about where to allocate resources. To create a successful system roadmap, involve key stakeholders from IT, operations, finance, and leadership to ensure you consider all needs.
On the other hand, there are also many cases of enterprises hanging onto obsolete systems that have long-since exceeded their original ROI. Leaders who adopt a crawl-walk-run approach, with thoughtful risk-taking and a strategic focus on actions and results, maximize the business value from IT modernization.”
One of the gifts that automation and AI bring is more time, says Mark Sherwood, executive vice president and CIO of Wolters Kluwer, a provider of information, software, and services for tax, accounting, finance, health, and legal professionals. They free up people so they have more time to invest in innovating.
Benefits and Challenges of The CDE Approach Critical Data Element (CDE)–based data quality dashboards are highly effective in regulated industries such as finance, healthcare, and utilities, where organizations are mandated to monitor and report on the quality of specific data elements.
Facilitating a business-driven approach to modernization ensuring that technology investments align with businessobjectives rather than just IT priorities. Mistake #3: Lack of Financial Acumen The Problem: CEOs and CFOs are increasingly focused on maximizing ROI from digital investments.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content