5 technology considerations for law enforcement
Having the right data analytics platform can help law enforcement solve crimes faster.
Tag: data integration
Closing data gaps to promote integrated health care
Learn why integrating EHR data with pharmacy and claims data improves patient care.
The role of data management techniques during COVID-19: 4 examples
Nancy Rausch shares 4 examples of the role data management techniques play in responding to COVID-19.
No, data is not the new oil
By now you’ve seen the headlines and the hype proclaiming data as the new oil. The well-meaning intent of these proclamations is to cast data in the role of primary economic driver for the 21st century, just as oil was for the 20th century. As analogies go, it’s not too
New Jersey using data to fight the opioid epidemic
The headline from the Newark Star-Ledger tells the story: “N.J. drug overdose deaths in 2018 on a record-shattering pace.” The opioid crisis continues to grow in New Jersey. From July 1, 2016 to June 30, 2017, the state saw a 34.7 percent increase in the number of opioid-related deaths, a
The streaming data paradigm shift for legacy systems
David Loshin provides an alternate take on streaming data in the context of legacy systems.
Data integration challenges for the extended information enterprise
In the extended enterprise, data integration challenges abound. David Loshin explains.
Criminal justice data system speeds prosecutions, helps put offenders away
Much has been written about the value that North Carolina’s Criminal Justice Law Enforcement Automated Data Services (CJLEADS) system has brought the state’s court personnel and law enforcement officers. CJLEADS integrates dozens of NC criminal justice and law enforcement data sets, a vast improvement over the state’s legacy processes. Law
SAS In-Database Processing in Teradata DBMS
When using conventional methods to access and analyze data sets from Teradata tables, SAS brings all the rows from a Teradata table to SAS Workspace Server. As the number of rows in the table grows over time, it adds to the network latency to fetch the data from a database
The SAS platform – It all starts with data management
To get full value from analytics programs, Todd Wright says be sure you can first access, integrate, cleanse and govern your data.
Analytical data preparation
To do their jobs well, Joyce Norris-Montanari says users doing analytical data preparation need access to both standardized and raw data.
How do I know what data is available?
Phil Simon shares his thoughts on this simple yet often-overlooked question.
Retos de integración de datos en las pequeñas y medianas empresas
Los usuarios empresariales dependen de la disponibilidad de los datos, que estos sean confiables y que estén fácilmente disponibles cuando se necesita. Sin embargo, con datos dispersos en sistemas dispares y volúmenes de datos que aumentan rápidamente, la integración de estos no es una tarea fácil. Ante tal escenario,
Four ways SAS makes Hadoop easy
Clark Bradley explains how SAS can make Hadoop approachable and accessible.
Challenges of moving Hadoop into production
David Loshin discusses two common roadblocks in moving Hadoop from proof-of-concept to production.
It’s data integration, but not as we know it
I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional
Governing data acquisition
As the application stack supporting big data has matured, it has demonstrated the feasibility of ingesting, persisting and analyzing potentially massive data sets that originate both within and outside of conventional enterprise boundaries. But what does this mean from a data governance perspective?
Data integration can alleviate citizen frustrations with government
Data integration helps a successful business make things simple and quick for customers, and keeps them coming back. While a company will have data silos, data held within one area is made available to others in order to help the customer. In most local, county and state governments that is
Operational data governance: Who owns data quality problems?
Data integration teams often find themselves in the middle of discussions where the quality of their data outputs are called into question. Without proper governance procedures in place, though, it's hard to address these accusations in a reasonable way. Here's why.
Modernization requires unification
.@philsimon channels his inner Queen Latifa.
ETL and data warehouses are dead! Long live ETL and data warehouses!
Why they will still play a valuable role in organizational data-management and -integration efforts.
Modernization starts at the top
Absent a strong executive presence, most mature organizations will continue to muddle through data integration.
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.
Thoughts on data scientists, data modernization and golf
What's more, CXOs who believe that they can substitute data scientists for real data integration are as foolish as the duffer who consistently uses the wrong club.
Il Data Management è il futuro del tuo business
Tutti siamo a conoscenza del fatto che avere acqua pulita è una condizione necessaria alla sopravvivenza. Senza, è possibile restare in vita per circa tre giorni. Quindi cosa succede quando la fonte è inquinata? A meno di non filtrare acqua con particolare attenzione, le conseguenze per l’organismo saranno sicuramente negative.
Considerations and tips for big data integration
.@philsimon asks some fundamental questions about taking the next step with #bigdata.
Health insurance, healthcare and pharmaceutical perspective on data quality – Part 2
As I explained in Part 1 of this series, spelling my name wrong does bother me! However, life changes quickly at health insurance, healthcare and pharmaceutical companies. That said, taking unintegrated or cleansed data and propagating it to Hadoop may only help one issue. That would be the issue of getting the data
Should easy access to data change the data strategy?
In the past, we've always protected our data to create an integrated environment for reporting and analytics. And we tried to protect people from themselves when using and accessing data, which sometimes could have been considered a bottleneck in the process. We instituted guidelines and procedures around: Certification of the data
Risks to consider when developing a data strategy – Part 1
Creating a strategy for the data in an organization is not a straightforward task. Not only does our business change – our software solutions also change before we can ever get done with a data strategy. So, I choose to understand that a strategy has a vision, and my vision may change
Houston, We have a solution: Data Virtualization
Like most boys my age at that time, I wanted to be an astronaut. Fate, however, intervened, in the form of nearsightedness, so I had to find an alternative occupation. Coming to my rescue for the launch of Apollo 11 was my father, who presented me with a huge booklet that broke