Data Architecture — The Warehouse Lives On
Barry Devlin
In my short series of Data Architecture Advisors, “Data Architecture — Containing the Lakehouse,” and “Data Architecture — Out of the Lakehouse, Into the Lake,” I first introduced the newcomer on the block — the data lakehouse — and then discussed the life of one of its parents, the data lake. What about the other parent, you may ask. You may have heard that it’s dead. To paraphrase Mark Twain’s alleged riposte: “reports of its death have been greatly exaggerated.”
Risk-driven Operational Planning (Using AI & Machine Learning to Proactively Manage Risk, Part 3)
Tom Teixeira, Craig Wylie, Michael Eiden
In Part 3 of this webinar series, the team examines Risk-driven Operational Planning, and reveals how to use AI/ML technology in practice.
Technology for Enabling Risk-based Decision Making (Using AI & Machine Learning to Proactively Manage Risk, Part 2)
Michael Eiden, Craig Wylie, Tom Teixeira
New risk models — ones that look ahead by utilizing AI and machine learning, and that can be continually updated as more data becomes available — will enable organizations to truly understand and rapidly respond to the changing business landscape. In part 2 of this webinar series, you'll learn about how to use AI/ML tools to enable risk-based thinking.
Why and How Agile Can Harvest Value from Data Overload
Jonas Fagerlund
In today’s digital environment, companies and their customers are generating increasing amounts of data. Correctly interpreted and used, this overload can be a means of competitive differentiation. It can improve understanding of customers and their behaviors, as well as control of internal processes. However, in many cases, the amount of data is so large, and the nature of it so complex, that it is difficult to analyze and act upon. As a result, many companies do not manage to harvest the potential value of existing data, despite significant investments and efforts. This Executive Update provides a brief description of how Agile ways of working can help companies effectively and efficiently leverage data in their day-to-day operations.
Managing Remote Workers in the Time of Coronavirus
Tom Bragg
“How can I tell that they’re working if I can’t see them?” It is a common complaint, based on a centuries-old style of working that we now need to move past. My rejoinder usually is, “When you CAN see them, how do you know they’re not shopping Amazon or playing solitaire?” But, in the days of unplanned, unusual work from home (WFH), this question deserves a closer look. In this Advisor, I’ll make use of decades of remote working, and managing remote workers, in the IT industry, but these same principles apply to many kinds of work.
Meeting CX Implementation Needs
Curt Hall
One of the primary issues impeding organizations from carrying out their customer experience (CX) management initiatives is a lack of CX professionals within the organization. So how are organizations meeting or planning to meet their CX implementation needs? This Advisor provides some answers.
Meeting CX Implementation Needs
Curt Hall
One of the primary issues impeding organizations from carrying out their customer experience (CX) management initiatives is a lack of CX professionals within the organization. So how are organizations meeting or planning to meet their CX implementation needs? This Advisor provides some answers.
Finding the “Secret Sauce” in Data Architecture Management
Sagar Gole, Vidyasagar Uddagiri
Enterprises must manage their data systems to overcome challenges and leverage the opportunities and benefits of digital transformation. The “secret sauce” to achieving this lies in a practical approach that can help enterprises transition from their current state to the desired state in which they are ready for the digital era and beyond.
EA Skill Improvement and Mentoring
Mike Rosen
Your architects need inspiration, new competencies, and added expertise. Led by Cutter Senior Consultant Mike Rosen, these virtual training sessions provide an infusion of expert guidance and best practices that will help your business and enterprise architects improve their skills, find their direction, and remove roadblocks to their individual and collective success.
Created for Virtual Delivery
Using AI and Machine Learning to Proactively Manage Risk
Tom Teixeira, Craig Wylie, Michael Eiden
In part 1 of this webinar series, you'll discover why you need to consider AI and ML approaches to risk management and learn from the case study of a pharma organization that used AI/ML-based risk models to determine exactly when to restart its clinical trials during the Coronavirus pandemic.
The Cutter Edge: CEOs Share Crisis Planning Insight, Blockchain for Healthcare Monitoring, High-Stakes Decision Making
Cutter Consortium
In this edition of The Cutter Edge, 25 CEOs and business leaders share their response to the COVID-19 crisis, the use of blockchain in healthcare to manage and monitor COVID-19 patients is explored, and more!
Project MiPasa: Integrating, Verifying, and Sharing Data for Early COVID-19 Detection
Curt Hall
“MiPasa” is an important new blockchain project to assist healthcare providers, government health agencies, public health departments, universities, and other organizations manage and analyze COVID-19 data. MiPasa is a collaboration between many of the world's major health organizations, tech companies, and research institutions to build a blockchain-based, open, “global-scale control and communication system” to facilitate fast and early detection of COVID-19 carriers and infection hotspots via accelerated information sharing among individuals, authorities, and health institutions.
Leading Businesses through the COVID-19 Crisis: First Learnings from Hong Kong, Italy, and Singapore
Richard Eagar, Tom Teixeira, Karim Taga, Saverio Caldani
In this report, you'll find interviews, conducted by several partners from Arthur D. Little, with 25 CEOs from Hong-Kong, Singapore, and Italy who shared how they’ve been responding to the COVID-19 crisis. All represent firms that operate critical infrastructures in their respective countries. Their advice is very valuable to CxOs in all industries across the globe.
A Trifecta for Finding Product-Market Fit
Pavankumar Mulgund, Deepti Tadala
In this Executive Update, we provide a detailed introduction to the design thinking and Lean Startup paradigms. We also explore their interplay with Agile and how this trifecta can enhance product-market fit by focusing on customer delight.
Purposeful “Self-Disruption” in the Time of a Pandemic
Gustav Toppenberg
As the world comes to terms with this “new normal,” it is easy to resort to a mindset of how things will be materially different following this worldwide management and, ultimately, recovery from a significant disruption to how we live our lives. As executive technology leaders, we have a choice to make about how we react to this disruption and how we prepare for future disruptions from a data and digital technology platforms standpoint.
DevSecOps Red Flags: Avoid These Implementation Mistakes
Sridhar Jayaraman
Too many companies rely on a solo approach to handle data security management. With one team working on getting data software out as quickly as possible and another team tasked with testing software and probing system vulnerabilities (tasks that require patience and discipline, and that can’t be rushed), too often the result is missed deadlines, missed opportunities, and missed outcomes.
Getting the Customer Journey Right
Kai Karolin Huppe, Nils Niemeier, Michael Kruse
In this Update, we make the case for stronger customer involvement, clearer governance, quantification of value, and a sharper focus, as we find these elements are the four main reasons implementations of customer journeys fail.
Getting the Customer Journey Right
Kai Karolin Huppe, Nils Niemeier, Michael Kruse
In this Update, we make the case for stronger customer involvement, clearer governance, quantification of value, and a sharper focus, as we find these elements are the four main reasons implementations of customer journeys fail.
Want Happy Customers? Make Your Employees Happy — An Introduction
Robert Scott
While often neglected, initiatives aimed at improving the employee experience can have an immediate and positive impact on customer satisfaction and, ultimately, the bottom line. Customer experiences do not just happen; they are the direct results of activities by the employees with whom customers come in contact. What can companies do to increase employee engagement in order to increase customer satisfaction and, ultimately, business results?
Digital Shift and EA: What Does It Take?
Samuli Pekkola, Maija Ylinen
Digitalization may be defined as using IT to improve the performance of people in organizations. These improvements may take place, for example, in business operations, the customer interface, employee experience, informed decision making, or in the form of new business models, products, and services. The digitalization of business operations involves improved business processes, cost savings, and faster lead times.
Blockchain’s Value Proposition
Pavankumar Mulgund, Ankit Sharma, Adarsh Srivastava, Lavlin Agrawal
The business value of blockchain technologies emerges in the form of business metrics, such as transaction efficiency, cost savings, and reduction of fraudulent activities, among others. In this Advisor, we explore some of the main drivers of value and potential applications beyond cryptocurrencies.
Separating Myth from Reality in Software Projects
Danette McGilvray, Masha Bykin
Historically, many projects concentrated their efforts on people, process, and technology. However, a vast amount of projects still fail to fully address the data and information aspects of their efforts. Many projects have failed due to this oversight, while others have left a wake of data quality issues that put long-term burdens on business processes and subsequent projects. It is useful to understand some of the common yet erroneous beliefs associated with projects. Believing such myths has caused many projects to fail because project teams did not account for the reality in their plans and budget. In this Advisor, we examine some of these myths and realities, along with their solutions.
Getting the Most Out of Corporate/Startup Collaboration
Richard Eagar, Philip Webster, Gonzalo Libano
We all know that businesses are being disrupted faster than ever before — and innovation launch and adoption cycles are dropping; entrepreneurial startups are one of the main driving forces for this acceleration. Big businesses are hurting — and in the face of a period of economic uncertainty hindering growth — they want in on the act.
Your Path to BaaS: To Build or Buy?
Timothy Virtue
Adoption of innovative business models is essential for new market entrants. In the build-versus-buy debate, I vote for buy, but it’s important that the BaaS provider be a trusted partner, not simply a commodity supplier.
Grooming the Path to Data Governance and Quality
Danette McGilvray, Masha Bykin
When effective data governance and quality processes are paired with Agile methodologies, data definitions and quality measures can help produce clear and complete user stories.
