Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
David Loshin explains what it means to be a data-driven business by describing three different models.
Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
David Loshin explains what it means to be a data-driven business by describing three different models.
Sie arbeiten mit Daten. Diese stammen vom Kunden. Vermutlich kann jener später indirekt identifiziert werden mit Ihren Daten. Ab Mai gilt neues Datenschutzrecht: Sie werden nachweisen müssen, welche „Maßnahmen der Technikgestaltung“ konkret getroffen wurden, um das zu verhindern. Knifflig, wobei eigentlich ist ja alles „pseudonymisiert“ oder „anonym“ oder so …
Many SAS users have inquired about SAS Cloud Analytic Services’ (CAS) Distributed Network File System (DNFS) of late, so let’s look at it further in this blog post. (Learn more about CAS.) The “NFS” in “DNFS” Let’s start at the beginning. The “NFS” in DNFS stands for “Network File System”
Improper payments continue to plague the federal government, though many actions are in motion to help turn the tide. The Trump Administration’s Building a Better America: A Plan for Fiscal Responsibility, released in July 2017, emphasizes reducing improper payments, currently estimated by the Government Accountability Office (GAO) to total
It's easier said than done to be a data-driven business, but the squeeze is worth the juice.
I wish this were a blog about a new super-affordable airline, but instead capital flight is the illegal movement of money from its country of origin, transit or destination. This movement of money through facilitators is creating a hyper-breed of criminal enterprise using the regulations of the world’s financial systems
Jim Harris shows how data-driven businesses incorporate three aspects of data governance to guide their decisions.
Once you have a data strategy for omnichannel, what's next? Kim Kaluba explains.
Joyce Norris-Montanari says IT and business need to work together when giving business users self-service data preparation tools.
David Loshin describes some steps you can take to ensure that self-service data preparation improves collaboration.
Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día
Es claro que este año que está por finalizar ha traído grandes cambios para todo el mundo en cuanto a transformación digital se trata, se estructuraron cambios en las industrias, la economía e incluso las formas de comunicación con sus clientes. Pero la tecnología no se detiene y cada día que pasa
Kim Kaluba says start the journey toward ominchannel with a data strategy based on governance.
The goal of this article is to describe the steps needed to configure the bridge that allows SAS Data Integration 4.902, based on SAS 9.4M4, to load data directly into CAS on SAS Viya 3.2. Of course, SAS 9.4M5 simplifies this process, as a SAS/CONNECT communication will no longer be required, enabled
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
Phil Simon chimes in on the tendency to rely upon these tools too much.
No es un golpe de suerte o una tendencia anómala la emitida por IDC que sustenta que entre 2015 y 2019 la inversión en tecnologías de análisis de datos crecerá un 50%, alcanzando en ese último año los US$187.000 millones. Tampoco lo es que para este año se estime que el
I’ve been making note of recent interactions and observations with different companies that I’ve done business with lately. My goal is to share with you real ways in which excellent customer experiences are shaped. Observation #1: Witty conversations rule As I write this, I’m sitting at a Panera Bread restaurant
Jim Harris says more reusable data quality processes mean less reliance on IT and higher productivity across the board.
Uno de nuestros firmes pensamientos es que el activo más valioso de las empresas son sus datos y el buen uso de ellos es el que pueden llevar a las compañías a una real transformación digital del negocio. A pesar de esto la consultora Gartner comenta que los líderes aún tienen una
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
84412925 - business team investment trading do this deal on a stock exchange. people working in the office. Caminar por la calle y que su celular le dé una notificación de alguna promoción especial de ese almacén que le gusta, que está solo a algunos pasos de usted y en
Caminar por la calle y que su celular le dé una notificación de alguna promoción especial de ese almacén que le gusta, que está solo a algunos pasos de usted y en el que utilizando la tarjeta de crédito de su banco puede comprar a cero interés, no es un
You have to be able to trust the data that you are working with, whether it’s data processing or analysis that you are involved with. And there is a strong correlation between that trust and data quality. Is it possible to determine data quality without monitoring mechanisms?
Get faster value out of your data by empowering business users to work with data on their own.
Phil Simon weighs in on the value of getting your own hands dirty using self-service data prep.
Managing big data doesn't always mean hiring more people and buying new tools.
Die EU-Datenschutz-Grundverordnung kommt näher – ausweichen oder draufhalten? In den letzten Wochen hatte ich die tolle Gelegenheit mit zahlreichen Kunden und Partnern über die neue EU-Datenschutz-Grundverordnung (DS-GVO) zu sprechen. Die Meinungen und Erwartungen sind dabei wirklich außerordentlich breit gefächert. Das ist nicht weiter verwunderlich, denn das Thema hat zuletzt stark an
David Loshin explains how to set up a data catalog that will help you get more value from a data lake.