The document discusses six emerging trends in business analytics: 1. Humans and machines will increasingly work together in complementary roles, with machines handling tasks like data processing and humans focusing on creativity, empathy, and oversight of machine performance. 2. Analytics capabilities are expanding across entire organizations, moving from isolated initiatives to enterprise-wide strategies aimed at creating "insight-driven organizations." 3. Cybersecurity is becoming more important and proactive, utilizing predictive analytics to anticipate threats rather than just reacting to attacks. 4. The Internet of Things is expanding to include people and generating new business models by aggregating and analyzing behavioral data. 5. Companies are getting creative in addressing talent shortages, collaborating more closely
Accenture saw its global private enterprise network as a potential limiting factor for growth, so it developed a program to transition to a more agile network. The document discusses Accenture's plan to phase out its private network completely by taking advantage of cloud technologies and consuming network services from cloud providers. This will simplify Accenture's network, reduce costs, improve security, business agility and user experience. The transformation is expected to generate an estimated $15-20 million in annual cost savings for Accenture while also reducing its carbon footprint.
Leaders in oil and gas reinvention are taking decisive, holistic actions across five key areas (competitiveness, carbon, connectivity, customer, and culture) to reinvent their businesses. They are balancing investments in hydrocarbons with growing a low-carbon portfolio. Leaders are also focusing on total enterprise reinvention, setting reasonable expectations, and strengthening capabilities. In carbon, leaders are setting ambitious emission reduction targets and meaningfully investing in decarbonization. They are also integrating multiple solutions to accelerate decarbonization progress. Leaders prioritize digital connectivity, customer experiences, and culture change led from the top to build capabilities for the future.
Accenture is undergoing a digital transformation to improve services for clients, employees, and the business. This involves streamlining processes, automating tasks, and using data analytics across the organization. The transformation includes developing integrated digital business services using SAP to improve account management, sales, delivery, and other operations. It provides employees centralized access to tools, data, and insights to better manage client accounts and delivery of services. The multi-year transformation process focused on practical technology solutions to support new, digitally-enabled ways of working and required changes to employee behaviors.
The document discusses how human and AI collaboration can reimagine businesses. It provides examples of companies that are using AI to enhance human work rather than replace it. Volkswagen partnered with Autodesk to use generative design tools in a collaborative process to redesign the Volkswagen Microbus. Adobe is transforming its creative suite with Adobe Sensei, using AI to provide intelligent collaborations for users. The document advocates that companies determine how AI can build new workforces with humans and AI working together, and find ways to pilot collaborative AI initiatives.
This document discusses how digital transformation is inevitable for enterprises due to ongoing digital disruption. It defines digital transformation as using digital technologies to improve customer experience, products/services, and business operations. The document outlines three approaches to digital transformation: IT transformation, business operations transformation, and business model transformation. It recommends that enterprises focus on business operations transformation by recognizing disruption, focusing on customers, rethinking their business, and not waiting too long to transform.
Digital Transformation is the buzz word of the latest year: What it really means? Which trends and technologies should manufacturers follow? What's next? What to focus on? IoT, Chatbot, Artificial Intelligence, Digical, Big Data
The document discusses the opportunity for communications service providers (CSPs) in the growing metaverse market. It outlines that while CSPs enabled the growth of the internet, other companies captured most of the value. The metaverse could unlock the next wave of growth for CSPs. CSPs are well-positioned due to their network infrastructure, identity/billing capabilities, and trusted relationships. The document identifies three potential archetypes for CSPs in the metaverse - performance player, orchestrator, and disruptor. It provides examples of use cases and emphasizes the need for CSPs to develop metaverse-ready networks through products, platforms, performance, and partnerships.
Nonprofits face increasing pressures from rising demand, diversified revenue needs, rapid technology changes, and evolving constituent expectations. To address these challenges, leading nonprofits are transforming their strategies, improving constituent engagement, empowering their workforce, and leveraging data and analytics. The document discusses how organizations are reimagining their missions, digital experiences, people strategies, and use of insights to strengthen performance and impact.
The document discusses the "Connected Consumer Platform" value play for communication service providers. It describes the play as using data and ecosystem partnerships to provide integrated and personalized digital services across areas like home, entertainment, shopping, and education. This would allow providers to take on a more central role in consumers' digital lives and shift their focus from average revenue per user to reaching more consumers and new monetization approaches. The document outlines the challenges providers face and opportunities to leverage control points with customers to continuously collect, correlate, and monetize data.
Biopharma is facing compressive disruption that could impact traditional approaches. Find out how New Science can reshape the biopharma landscape and patient care. Visit http://www.accenture.com/newscience to learn more.
Explore how optimizing operations can help organizations access a new performance frontier. Learn more: http://accntu.re/3Ln6YflA
Accenture explains how high-growth companies are turning innovation investments into value with success.
Which comes first the chicken or the egg? Or better yet The Data Strategy or the Chief Data Officer? A guide to a data strategy in a Big Data world.
In order to turn data into opportunities, you need to build a modern data analytics platform. But because literally everything changes so fast, built-in flexibility is paramount. This presentation covers: - how to leverage all your data to generate insights - the capabilities needed to build a flexible platform - how to incorporate sustainability requirement
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
01. The survey found that 92% of respondents have plans to expand the scope of shared services centers by adding new functions like R&D, engineering, quality, and customer service. Many are also looking to offer more services like analytics and automation. 02. While cost reduction was traditionally the main benefit, respondents now see quality, accuracy, and digital transformation as the top value drivers from leveraging shared services. 03. 97% of respondents believe shared services is best placed to drive enterprise-wide digitalization and automation efforts after centralizing and standardizing processes.
This document provides a summary of key strategies for successfully scaling artificial intelligence (AI) within an organization. It discusses the importance of having a clear business strategy that AI supports, focusing AI projects on delivering tangible business value. It also emphasizes having the right data strategy to power AI initiatives and taking a portfolio view of AI projects that balances experimentation with alignment to strategic goals. The document recommends challenging assumptions about how work gets done and preparing employees for how AI will change and augment their roles. It argues that organizations must think holistically about scaling AI to realize its full potential for driving business outcomes.
"Healthcare is undergoing major changes spurred on by, but not limited to, technology. Digitalisation is changing the way we think about health, what taking care of it really entails, our personal role in healthcare systems and the way we interact with technology in the context of health. In many ways, we are entering a post-institutional age of increased personal responsibility, which presents healthcare service providers and other players in the field with major opportunities and great risks. Technology has the potential to empower people and help them become more active in the management of their and their families’ health. This will change the relationship of the patient and the caregiver in profound ways." Mirkka Länsisalo A co-creation with Mirkka Läansisalo and Sala Heinänen, at Futurice.