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🚀 ValueBlue: The Moneyball Strategy for Banking and Accountancy! ⚾️💼 In the world of finance, we often see two types of movies: the "Wolf of Wall Street," where chaos reigns, and "Moneyball," where strategy wins the game. 🏆 For many banking and accountancy firms, the real challenge is moving away from the chaotic hustle of "Wolf of Wall Street" and adopting the data-driven, innovative strategy of "Moneyball." 🎯 Take Alfa Accountants and Advisors as an example. Faced with rapid growth and complexity, they needed a smarter way to align their business and IT strategy. That's where #ValueBlue came in! Using our agile approach to enterprise architecture, they restructured their processes and embraced a data-driven transformation that aligns with their business goals. 🏦🔄 Just like in "Moneyball," where data and strategic thinking reshaped an entire baseball team, Alfa Accountants used ValueBlue to build an agile, data-centric architecture that drives efficiency, reduces complexity, and ensures long-term success. 📊⚙️ So, for all you banking and accountancy pros out there, ready to step up to the plate? It's time to transform the game with ValueBlue! 💡⚡ #BusinessTransformation #EnterpriseArchitecture #DigitalTransformation #Banking #Accountancy #DataDriven #ValueBlue #AgileInnovation #DORA https://lnkd.in/ebFS7FFv

Is your data architecture optimized for performance? Consider how Intuit tackled this challenge and navigated its busiest period using Apollo Router. Key highlights from principal Engineer Rama Palaniappan include: ✨ Migrating to Apollo GraphOS for a unified supergraph. ✨ Streamlining supergraph management with Apollo GraphOS contracts. ✨ Choosing Apollo Router for peak scalability and minimal response time variance. 📈 Dive into Intuit's GraphQL journey, the transformative impact of Apollo Router on performance metrics, and the invaluable lessons learned. Read the complete blog here: https://bit.ly/48IKaB3 #Intuit #APIstrategy #ApolloGraphQL #APIManagement #GraphQL #GraphQLSummit

I’m pleased to have contributed another piece to CFO Tech Outlook about Financial Process Automation: A Must-Have Not a Nice to Have. As a technology-led organization, State Street has experienced the benefits of moving ledgers and subledgers to the cloud, automating and improving data flows from upstream product systems, and using data standardization and aggregation to sunset legacy processes. The article details how and why process automations such as this have become something of a job requirement for CFOs, and the very real benefits such efforts can bring to large, matrixed organizations. https://lnkd.in/en5dNbNp

Ever wondered what goes on behind the scenes of managing millions of postpaid accounts daily in collections? Collections might seem like just a backend service, but it processes 7+ million accounts daily, analyzing hundreds of data fields per account, and making decisions in seconds. What's exciting about it? We analyze millions of data points, derive insights, and develop strategies with customer empathy in mind while managing bad debt risk and involuntary churn rates. Over the past year, I've led the initiative to modernize our platform, integrating data and processes on Azure stack. The biggest challenge has been reverse engineering legacy code developed by a 3rd party we don't own, but we persevered. We are almost there and I'm incredibly proud of the team's achievements. Most importantly, I’m proud of the challenges we overcame and lessons learned along the way: 1. Navigating the unknown: We adopted an agile iterative approach and A=B testing to refine our logic, improving data quality and resolving legacy issues. 2. Resource Constraints: Despite team changes and budget shifts, we documented decisions and logic changes to retain key knowledge and keep the team motivated. 3. Adopting to change: We quickly adapted to new tools and processes, ensuring smooth deployment and change management. Our journey to modernize the platform has been challenging but rewarding. I'm excited about the future and the continuous improvements we can achieve.

Discover the power of automation firsthand – Heather Norum, Director of Accounting at VelocityEHS, transformed financial operations, saving $160,000 annually by freeing up three full-time employees for more strategic work. Embrace the revolution! Dive deep into how automation streamlines operations, eliminates errors, and boosts productivity. Explore more success stories and uncover how organizations achieved remarkable results through automated solutions. Read the blog here: https://lnkd.in/gmTWAxCi #FinancialAutomation #EfficiencyRevolution

The Hidden Costs of Not Upgrading Your EKS Clusters: A Financial Perspective for Decision Makers With Amazon EKS transitioning to extended support for Kubernetes versions, businesses that do not keep their clusters up-to-date will face a significant shift in the cost structure. Starting April 2024, the move from standard to extended support escalates the hourly rate for cluster maintenance by 500%—a stark increase highlighting the financial urgency of timely upgrades. ❗ Understanding the Cost Impact For businesses operating three clusters non-stop over a month (730 hours), the leap to extended support inflates the monthly operational expenses from $219 under standard support to $1,314 with extended support. Annually, this translates to an additional expenditure of $13,140 for maintaining just three clusters in the extended support phase. This 500% increase in costs underlines a critical message for CFOs, CTOs, and business leaders: the decision to delay upgrading Kubernetes versions within Amazon EKS could lead to significant, unforeseen financial burdens. The hidden costs of postponing upgrades extend beyond the direct financial outlay to potential impacts on security, performance, and the ability to leverage the latest Kubernetes features. 💰 Critical Strategies for Cost Management 1️⃣ Proactive Upgrade Planning: Timely upgrading to newer Kubernetes versions can avert the steep costs associated with extended support, underscoring the need for a strategic, forward-looking upgrade plan. 2️⃣ Cluster Optimization: Regularly reviewing and optimizing the number and utilization of clusters can further help control costs, ensuring you pay only for what you genuinely need. 3️⃣ Incorporate Cost Implications in Budgeting: Adjust budget forecasts for the potential switch to extended support pricing, enabling more accurate financial planning and resource allocation. The move to extended support pricing for Amazon EKS necessitates reevaluating technical strategies and recalibrating financial planning. By embracing a proactive approach to Kubernetes version management, businesses can safeguard against the hidden costs of inaction, ensuring their cloud-native infrastructure remains both cutting-edge and cost-effective.

The role of Financial Controllers has been evolving over the past few decades. CXOs rely on Financial Controllers for critical information, strategic guidance and investment opportunities. There is a drastic shift in their role from manual entry to automated process using advanced solutions. Would love to hear from finance executives who are experiencing this shift and share the latest trends & insights and think of possible solutions #controller #controllers #corporatefinance #financialcontroller #financialanalysis #finance #financemanager #financemanagers #cfo #cfoinsights #cfotech #financialdata #financeprofessionals #financeinnovation #financeinsights #dataanalytics #datainsights #enterprisesolutions #enterpriseresourceplanning #cloud #clouderp #cloudanalytics #cloudaccounting #clouddata

🌟 Unlock Your Business's Potential with Real-Time Cashflow Forecasts! 🌟   Imagine a world where managing your business's cash flow is no longer a stressful, manual task but an automated, seamless process that provides real-time insights at your fingertips. At Madhda Business Solutions, we've made this dream a reality for our clients with the integration of Azure AL Gallery and Web Services. 🌐🔗   Meet Sarah, a dedicated CFO of a mid-sized manufacturing company. Sarah's mornings used to start with sifting through piles of spreadsheets, cross-referencing data, and manually updating cash flow reports. Despite her diligence, she often found herself caught off-guard by unexpected expenses or fluctuations in revenue.   One day, Sarah attended a webinar on leveraging cloud technology for financial management. Intrigued by the possibilities, she decided to explore this integrated solution with Madhda.   Here’s what changed after this transformation,   📊 Accurate Financial Insights in Real-Time: No more outdated data. Sarah now had access to the most current financial information, allowing her to make informed decisions quickly. ⏱️ Faster Decision-Making with Up-to-Date Data: Real-time insights meant Sarah could act swiftly, seizing opportunities and addressing challenges as they arose. 🔄 Smooth Integration Between Systems: The seamless connectivity between her existing systems eliminated data silos and ensured all departments were on the same page. 💻 Customizable Forecasts Tailored to Unique Needs: Sarah could now create cash flow forecasts that were specifically designed for her company’s unique financial landscape.   Gone were the days of manual tracking and the fear of missing critical financial indicators. With automated workflows and precise data, Sarah felt more in control and confident about her company’s financial future.   Read the full story and see how you can achieve the same transformation: https://lnkd.in/duqxhEFg   If you wish to replicate similar digital transformation within your company, reach out for a free consultation.   #CashFlowForecasting #AzureALGallery #WebServices #BusinessCentral #Automation #CloudSolutions #FinancialInsights #MSDyn365 #PowerOfTech #MADHDA 💼📈

🌟 In today’s competitive landscape, grasping the differences between Service Level Agreements (SLAs) and Service Level Objectives (SLOs) is critical for successful service management. Our latest blog post breaks it down: 📌 **What is a Service Level Agreement (SLA)?** - Formal agreement between provider & customer - Details services, support, performance metrics, and responsibilities 📌 **Types of SLAs:** - Customer-Based - Service-Based - Multilevel 📌 **What is a Service Level Objective (SLO)?** - Specific measurable metrics within SLAs 📌 **Key Differences:** - SLA: The entire agreement - SLO: Specific performance metrics 📌 **Practical Examples:** - Finance department SLAs with performance expectations - Cloud service provider SLAs detailing availability and support response times Enhance your understanding and improve your service delivery! #ServiceLevelAgreements #SLOs #PerformanceManagement #QualityAssurance #TechBlog