Four DI modernization mistakes
.@philsimon with some recommendations on modernization.
Tag: big data
Modernization and data-driven culture – Part 2
Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data
Why IoT deployments need design thinking
Design thinking is, broadly speaking, allowing user experience, or even users, to drive design. It’s a profoundly human-centered process, with commentators using words like ‘collaborate’, ‘experience’, and even ‘empathy’ in their descriptions. Steve Jobs is said to have used it in creating the iPod and iPhone, because it brings together
Corporate strategy and analytics: The utility leader’s new business partners
Utilities, like all large organizations, spend a lot of time and resources on strategy. But how do utility analytics leaders ensure that their efforts are connected to this high-level vision? On June 28th in Los Angeles, a small gathering of utility executives and analytics leaders met to discuss and explore
Streaming analytics with SAS Event Stream Processing and Apache Nifi
Do you have a need for real-time, streaming analytics? What technology are you considering? How are you going to enable rapid development and deployment of your analytical models all in real-time? SAS has partnered the the Hortonworks HDF team to develop a nifi processor that allows SAS machine learning models and
Modernization and data-driven culture – Part 1
Modernization is a term used to describe the necessary evolution of information technologies that organizations rely on to remain competitive in today’s constantly changing business world. New technologies – many designed to better leverage big data – challenge existing data infrastructures and business models. This forces enterprises to modernize their approach to data
How to turn your Big Data into business insights: Analytics in Action
Regardless of the industry and the company size, companies today have access to a huge amount of data. In order to convert this Big Data into useful insights, analytics strategies aligned with business objectives are required, supported by technology, commitment of the top management and a cultural shift that involves the entire organization. A
Modernization starts at the top
Absent a strong executive presence, most mature organizations will continue to muddle through data integration.
Sentiment analysis, machine learning open up world of possibilities
When a person feels sufficiently wronged to lodge a complaint with the Consumer Financial Protection Bureau (CFPB), there’s likely to be some negative sentiment involved. But is there a connection between the language they use and the likelihood they will be compensated by the offending company? At the upcoming Sentiment
Abgekürzt: Verstehen Sie die Bankenaufsicht wirklich?
Der Mensch neigt zum Schleichweg, auch Abkürzung genannt. Das tut er, wenn er fährt, geht oder spricht. Inder und Amerikaner sind wahre Meister solcher Abbreviaturen. Ich habe den Eindruck, dass die Masse an Abkürzungen mit der Komplexität der Thematik zunimmt, Beispiel Sprache der Bankenaufsicht. Und hier mein Song .....
La toma de decisiones estratégicas en la Banca, ante grandes cantidades de datos
El sector financiero se encuentra en un momento de constantes cambios, sobre todo en materia regulatoria y los ajustes que esto conlleva. Sin embargo, lejos de qué tan convenientes o no resultan para la industria, una pregunta clave y de negocio ante esta situación, es cómo esto llevará a un
The three P’s of data monetisation
Data monetisation is a hot topic these days. Especially for people like me watching the movements of early adopters – companies who are using data to create new revenue streams or even create new businesses to capture those revenue streams. DataStreamX is a notable start-up whose sole business is cashing
itasascom: l'innovazione raccontata da chi la fa
Secondo diverse fonti, il volume di dati archiviati e gestiti nei sistemi IT aziendali cresce con un tasso annuo del 20-40% dal 2010. Stiamo vivendo una nuova era di innovazione e di disruption digitale, in un mondo iperconnesso, caratterizzato da mobility, oggetti intelligenti, interazioni online e reti veloci. Vincere sul
A view from Future Camp: SAS, Accenture and Cloudera partner for IoT
It’s clear from the minute you step into Accenture’s Digital Innovation Center (Future Camp) in Kronberg, Germany, that you're stepping into the future of innovation. The writing is literally on the walls, and everything you need to inspire big ideas – from brightly colored furniture to racks and racks of gadgets
How design thinking will re-frame IoT analytics prototyping
Data scientists are familiar with prototyping - we do this as part of a well-understood process to arrive at the optimum solution. But prototyping is more than about perfecting the math; it should also be about testing interpretability of the results. This need comes into stark prominence when you start
Big: Data, model, quality and variety
The “big” part of big data is about enabling insights that were previously indiscernible. It's about uncovering small differences that make a big difference in domains as widespread as health care, public health, marketing and business process optimization, law enforcement and cybersecurity – and even the detection of new subatomic particles.
Analytics transforming the 2020 U.S. Census
One of our country's oldest institutions, the U.S. Census Bureau, is at the forefront of modern government efforts. Those efforts are numerous and disparate, from general directives to do more with less, to digitization and consolidation initiatives, to the “Cloud First” mandate, and the pushes for agile and open source development.
The data behind a global sports story
The summer games have all the elements of a great story—power, drama, intrigue, and the key moment when one team rises above the rest and is dressed in gold. I guess I can’t help but love the games -- and as a professional communicator, I can’t resist a great story.
Examining the relationship between MDM and customer intelligence
.@philsimon on whether organizations need MDM to gather valuable insights about their customers.
Un nuevo sector financiero para una nueva Colombia
"Los sistemas financieros en el mundo están enfrentando importantes transformaciones que impactan no solo sus modelos de negocio sino la forma de relacionarse con los consumidores financieros". Esta frase, pronunciada por el Superintendente Financiero de Colombia, Gerardo Hernández, en la pasada Cumbre Bancaria en Cartagena, resultó el preámbulo perfecto para
Location analytics and the 'Minority Report' approach
“Good afternoon, Mr. Yakamoto. How did you like that three-pack of tank tops you bought last time you were in?” Washington D.C. Year 2054. Chief of PreCrime John Anderton is running from the law for a crime he has not committed yet. After a risky eye transplant in order to
The next wave of MDM: Integrating structured and unstructured data
.@philsimon on what's next for MDM applications.
Data Governance - first steps - part 1 of 4
21st century is the era of information revolution, when mass exploitation of data is a part of daily routine. Nowadays any business requires that the information driving the decision-making process be of a high quality, timely delivered and, above all, reliable and that it ensure security of the activity conducted.
Fraud detection is like crime fighting, only geekier
To some people, electricity is like air: There for the taking. For others, circumventing paying a utility bill is a just cause, sticking it to “Big Energy” for their perceived transgressions against customers. In either case, not paying for energy is considered fraud and a crime. In some states, energy
Connected vehicles and customers driving new automotive analytics opportunities
It's an exciting time to be in the automotive and transportation industry. The opportunities for business transformation and growth are enormous – and those companies that lead in implementing new ways to drive intelligent customer interactions will capture the greatest share of new revenue streams. For those of us fortunate enough
In search of the Holy Grail: Sorry Hadoop fans, only MDM delivers single view of customer
Single view of customer. It's a noble goal, not unlike the search for the Holy Grail – fraught with peril as you progress down the path of your data journey. If you're a hotelier, it can improve your customer's experience by providing the information from the casinos and the spa at check-in to better meet your
Estudio revela cuál es la habilidad que las empresas más valoran en sus trabajadores
Un estudio desarrollado por Payscale y publicado en la revista Time asegura que el proceso y análisis de grandes cantidades de datos es una de las habilidades más valiosas y mejor pagadas en el mundo empresarial hoy en día. La investigación concluye que “Saber SAS” es la principal herramienta que
Seven of my favorite big data presentations from SAS Global Forum 2016
Nowadays, nearly every organization analyzes data to some degree, and most are working with “Big Data.” At SAS Global Forum 2016 in Las Vegas, a vast number of papers were presented to share new and interesting ways our customers are using data to IMAGINE. CREATE. INNOVATE., as this year’s conference tagline
The real deal in fraud and financial crimes
Financial institutions evaluating fraud management solutions face a crowded vendor landscape. Dozens of vendors claim to offer various pieces of the puzzle. With so many choices available, how will you sort through the marketing rhetoric to find the best fit for your organization? You could assemble a team of analysts
Tres características del Big Data que transformarán su manera de tomar decisiones
La grandeza de sus datos probablemente no es la característica más importante. De hecho, puede que ni siquiera figure dentro de los aspectos relevantes por los cuales usted debería preocuparse. La calidad, la integración de los silos, la manipulación y la extracción de valor de los datos no estructurados siguen