Performance management systems are becoming more important to local governments across the country. This is true for several reasons. Citizens are calling for a more accurate accounting of how their tax monies are being spent. Local government revenues have not been growing as much as in the past and, in
Avoid frustrations by following these 5 tips from David Loshin to create a successful data management strategy for analytics.
Platform and strategy are core to compliance, but Jim Harris says commitment from people across the organization is just as important and harder to achieve.
.@philsimon says that it's never too early to think about the IoT and data management.
Cybersecurity programs are often judged by what goes wrong. However, the most effective security teams are defined by what remains invisible to customers: disciplined preparation, swift decision-making and a clear understanding of where risk truly matters. At SAS, cybersecurity is treated as a business enabler rather than a reactive control
In an uncertain geopolitical world, integrated balance sheet management (IBSM) is crucial for building financial resilience. Fragmented risk systems hinder banks’ ability to navigate volatile markets. Isolated control models are especially problematic when managing liquidity, profitability and capital efficiently. According to a recent FT Longitude survey of executives from 300
Making a big purchase, such as a car or home, can be stressful for everyone involved, from doing the due diligence to identifying a good lender. Everyone wants to make the process smooth while mitigating risks. Banks and lenders also have more data to work with when making a lending
2023 delivered a raft of notable bank failures, the largest since the 2008 financial crisis. Silicon Valley Bank and others succumbed to collapse, triggering widespread reverberations and heightened market uncertainty. We also saw a tsunami of AI innovation, expanding fraud and financial crimes, workforce transformation and climate risk. And let’s
Retailers face unprecedented challenges with supply chain volatility, inflation, oil price fluctuations, labor shortages and geopolitical activities, making it difficult to plan across the organization. With retail evolving, coupled with persistent supply chain issues, this adds complexity to anticipating and planning for shifts in consumer demand. The emergence of an
Today, a business disruption can stem from just about any type of event — a once-in-a-lifetime pandemic, economic pressures, critical skillset shortages or changes in market or investor evaluation criteria. Only resilient companies can ride out the turbulence and quickly bounce back. But with the ongoing pace of change, making
DataOps is rapidly turning from a fragmented usage of some tools popular in the software development world into a modern approach to data & analytics engineering with its own best practices and recommended technologies. While the goal of DataOps – delivering data and analytical insights of the highest quality faster
SAS stands for more than just installation and customizing. I discuss our #IMPACT view of 2021 with Thorsten Hagenberger.
What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration
Many countries in Europe have in previous years experienced increased price competition for general insurance products. Especially in Southern Europe, the competition has been very fierce, fueled by online price comparison websites. In Spain, Portugal and Greece, there has been a substantial drop in average premiums for products like motor,
Intelligent Decisioning can help telcos adapt to disruption, meet new demands and plan for the future.
Kim Kaluba explains how connecting data to decisions helps create resiliency.
Across all industries, organizations are adopting a cloud-first strategy. What does it mean to be cloud-first? Broadly speaking, cloud first means using shared infrastructure instead of building and hosting your own private storage facility, systems, etc. Benefits of adopting a cloud-first strategy include cost savings and productivity improvements. However, what
Data management gets lost in the enthusiasm around Artificial intelligence (AI) and machine learning (ML). Not surprising, when it's an algorithm that decides what search results to show you, guides the self-driving cars on the roads, and powers the anti-fraud bots that monitor every credit card transaction we make. Charles
Joyce Norris-Montanari cites five things she considers essential to data management for analytics.
Focus on data governance, quality and storage if you want to do data management for analytics right.
Don't be a data hoarder. Jim Harris shares guidelines for a data retention strategy.
David Loshin says entity resolution isn't a bandage to fix errors – it should be part of your data strategy.
Jim Harris asks: Do you retain and maintain data, or do you have a data retention strategy?
Zur Person: Dr. Volker Stümpflen verantwortet als Leiter Data Strategy & Operations bei der Mediengruppe RTL vor allem den Auf- und Ausbau der Data-Science-Aktivitäten sowie die Realisierung und Monetarisierung speziell analysierter Datenmodelle mit Fokus auf Nutzerverhalten und Nutzerbedürfnisse. Er verfügt über große Erfahrungen mit der Vernetzung großer Datenbanksysteme und Applikationen,
At a time of unprecedented financial challenges – from payment shifts and regulatory mandates to aging populations – our nation’s hospitals are awash in data. Clearly, there is a need for analytics capabilities to make health care more efficient, cost-effective and satisfying to patients and providers alike. In the October
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
If I’m having a tough week, I might feel sorry for myself for a minute or two. But to snap myself out of it, all I have to do is think of the data managers. Those folks have to contend with duplicate records, bad information, data proliferation, accountability, permissions, privacy,
Joyce Norris-Montanari says focus on data quality and governance, privacy and security when providing data on demand.
For colleges and universities, awarding financial aid today requires sophisticated analysis. When higher education leaders ask, “How can we use financial aid to help meet our institutional goals?” they need to consider many scenarios to balance strategic enrollment goals, student need, and institutional finances in order to optimize yield and
Regulations, corporate drivers, leadership and market influences have combined to produce a patchwork of uneven progress on initiatives such as distributed generation, customer choice, asset optimization and the industrial Internet of Things. These initiatives all rely on analytics to gain the most return on investment. To better understand organizational readiness
