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As organizations continue their digitaltransformation (DX) journeys, the role of the CIO evolves. However, the metrics used to evaluate CIOs are hindering progress. This data shows that a majority of companies — 62% — are still focused on short-term or functional goals rather than long-term strategic transformation.
Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5
Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digitaltransformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail.
Digitaltransformation has become an essential part of business success. According to TEKsystems’ 2023 State of DigitalTransformation , 41% of organizations’ digitaltransformation (DX) initiatives have failed to achieve their desired outcomes. That’s not digitaltransformation.
Once a vanguard business strategy, digitaltransformation has become a perennial objective for business survival. Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth.
After all, a low-risk annoyance in a key application can become a sizable boulder when the app requires modernization to support a digitaltransformation initiative. These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities?
Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). Gen AI allows organizations to unlock deeper insights and act on them with unprecedented speed by automating the collection and analysis of user data. As Gen AI continues to evolve, its role in digital experience analytics will only grow.
For CIOs leading enterprise transformations, portfolio health isnt just an operational indicator its a real-time pulse on time-to-market and resilience in a digital-first economy. Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement.
New research 1 underscores the common challenges many enterprises face in advancing their Value Stream Management (VSM) maturity levels for digitaltransformation, emphasizing the crucial need for effective guidance. Many at this level have embarked on digitaltransformation initiatives to improve efficiency and agility.
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 10: COVID-19 | Evolving Trends of DigitalTransformation. COVID-19 | Evolving Trends of DigitalTransformation. My name is Vignesh, and I help companies succeed in their AI-enabled digitaltransformation. Listening time: 12 minutes.
Many digitaltransformations focus on platforms to support the business, but thats different from running a platform business. To be a platform business, you need a network, demand, supply, data, and a customer experience that differentiates. These high-level metrics tie to every leaders objectives.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. It’s a change fundamentally based on digital capabilities.
The growing importance of ESG and the CIO’s role As business models become more technology-driven, the CIO must assume a leadership role, actively shaping how technologies like AI, genAI and blockchain contribute to meeting ESG targets.
Nevertheless, it is often difficult for them to find the right amount of time to collect, cultivate, and analyse data, mostly because CEOs need to prioritize strategic decisions. Change is hard, so digitaltransformation is tough. Data is hard, and change is hard. Data is hard, and change is hard.
Regardless of where organizations are in their digitaltransformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). As a result, outcome-based metrics should be your guide.
Many CIOs have work to do here: According to a September 2024 IDC survey, 30% of CIOs acknowledged that they dont know what percentage of their AI proofs of concepts met target KPI metrics or were considered successful something that is likely to doom many AI projects or deem them just for show. How confident are we in our data?
For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly datadriven.
This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape. View your support solution as a platform.
This expectation is just one aspect of the digital disruption that is upending how legacy enterprise companies do business. The stakes for these companies have never been higher, particularly when many emerging players have already mastered the quickly evolving digital landscape. View your support solution as a platform.
In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.
As such, the data on labor, occupancy, and engagement is extremely meaningful. Here, CIO Patrick Piccininno provides a roadmap of his journey from data with no integration to meaningful dashboards, insights, and a data literate culture. You ’re building an enterprise data platform for the first time in Sevita’s history.
Every organization pursuing digitaltransformation needs to optimize IT from edge to cloud to move faster and speed time to innovation. It’s time to discard legacy processes and reinvent IT procurement with a new approach that leverages the power of data-driven insights. But the devil’s in the details.
Digitaltransformation has the power to radically overhaul every aspect of an organization’s operations. But because of the company-wide impact of a financial transformation, the office of the CFO plays a unique role in driving the transformation beyond its own territory. Naturally, that includes the finance department.
Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.
With the increasing sophistication of cyber threats and the accelerated pace of digitaltransformation, organizations must be more proactive in identifying and mitigating risks. CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness.
In today’s digitallytransforming world, time is of the essence. As you seek to boost agility and speed your organization’s digitaltransformation, there are some proven principles you can apply. In the process, they can break down the silos that stifle digitaltransformation.
As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.
Big data is having a tremendous impact on the future of modern business. Harvard Business Review Analytic Services recently published The State of Digital Adoption report on big data adoption in business, and its findings may surprise or even alarm many organizations and institutions.
“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. How will AI improve SaaS in 2020?
And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. The next wave of technology driven CX We’re entering a new age of customer experience driven by digitaltransformation.
Organizations are increasingly investing in digitaltransformation as a way to maintain or grow a competitive advantage. A tried-and-true way to approach digitaltransformation is to understand the relationship customers have with the product and the brand, where that relationship currently falls short, and how it can be improved.
Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing?
That has been the objective of The Mosaic Company’s global digitaltransformation, which aims to yield at least three times its investment of $300 million. To that end, Wysocki and his team have introduced SAP HANA, Salesforce, and O9’s digital supply chain system into the company’s business stack.
Responsible investment Gartner’s latest data from its board of directors survey shows that its top focus area is the economy, but IT for sustainable growth does at least hint at CEOs, boardrooms and CIOs being in unison about marrying financial performance with environmental impact.
As digitaltransformation evolves, and more businesses begin to harness the power of digital technologies, the rate at which we are creating data is rising by the second. As such, we have to find approaches to data analytics and business intelligence. What Is Real Time Business Intelligence?
The industrial manufacturing industry produces unprecedented amounts of data, which is increasing at an exponential rate. Worldwide data is expected to hit 175 zettabytes (ZB) ?by by 2025, and 90 ZB of this data will be from IoT devices. Managing this increasing amount of data can wreak havoc on your financial teams.
Redefining and recategorizing skills To start, Deloitte recommends categorizing jobs in your organization into types such as the following: Routine cognitive jobs such as data entry, basic coding, and customer service, which will benefit from gen AI by reducing redundancy in daily tasks.
The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Step 1: Identify enterprise ESG goals that IT can deliver through digitaltransformation. Smarter operations through integrated data and analytics.
Deep automation transforms enterprises into living organisms, integrating technologies, processes, and data for self-adjustment. AI-integrated tractors, planters, and harvesters form a data-driven team, optimizing tasks and empowering farmers. Prioritize data quality to ensure accurate automation outcomes.
Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digitaltransformation as well as growth in companies. In this modern age, each business entity is driven by data.
Enterprise networks are undergoing a profound transformation. These changes are being driven by growing SaaS adoption, increasing workload migration to the cloud, and the need to support the expanding number of employees who work-from-anywhere. More importantly, WANs lack the flexibility and scalability that digital business requires.
After all, many C-suite leaders and employees have an outdated impression of what IT departments do today, which may undermine the CIO’s digitaltransformation , change management, and other strategic objectives. “We What dataops, data governance, machine learning, and AI capabilities are IT developing as competitive differentiators?
Some tasks should not be automated; some tasks could be automated, but the company has insufficient data to do a good job; some tasks can be automated easily, but would benefit from being redesigned first. Some of these data sources will be owned by the pharmacy; others aren’t. Most are subject to privacy regulations.
This is a common scenario: A client reaches for benchmarks and metrics without fully grasping the larger context. That’s when I pointed out that they’d just gone through a significant digitaltransformation. Executives and boards want hard data, and benchmarks offer an easy way to provide seemingly objective metrics.
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