Search Results: api (2289)

Data Management
Jose Etchegoyen 0
Series: BCBS 239 – Principle 11

Principle 11: Risk management reports should be distributed to the relevant parties while ensuring confidentiality is maintained. Early in 2013, the Basel Committee on Banking Supervision (BCBS) issued guidelines for banks regarding risk data aggregation and reporting. Known collectively as BCBC 239, these principles were designed to ensure that banks

Jack Hymanson 0
Getting demand in shape

For supply chain managers and analysts Getting Demand in Shape can mean collecting the most pertinent data to support specific business processes and activities. Identifying new or previously unused data sources can be especially important. My most recent article titled “Getting Demand in Shape” in the May / June issue of APICS magazine

Data Visualization
Ian Jones 0
Trade Surveillance: Watching you watching me

“Technological innovation is no longer a choice: it is an imperative.” So said Scott O’Malia, Commissioner of the Commodity Futures Trading Commission, about trade surveillance during his keynote address at the recent SAS-sponsored New Risk in Energy 2014 conference in Houston. He was attempting, as he has before, to spur

Gastbeitrag 0
Gastbeitrag: "Being Data Driven with Hadoop"

We asked Lars George, EMEA Chief Architect at Cloudera, to share his opinion about Hadoop, Big Data and future market trends in Business Analytics. For all those who want to know more about Hadoop we recomment this TDWI whitepaper and how to apply Big Data Analytics.  The last few years

Students & Educators
Nadja Young 0
Teacher effectiveness culture shifts in Lubbock ISD schools – Part 1: The Teachers

Improving teacher effectiveness is no simple task. Whether a part of a formal evaluation system or for formative feedback, looking at student growth data can be a valuable part of the development process for teachers and administrators. Lubbock Independent School District (Lubbock ISD) uses SAS® EVAAS to improve teaching and

Guido Oswald 0
Data Day Zürich - wir laden herzlich ein!

Da war doch mal was, Sie erinnern sich, Hoodiejournalismus?! In dieser Diskussion über Digital gegen Print, jung gegen alteingessen, #hoodie vs. #schlipsy, über was ist Premium oder was ist hautnah dabei, über was erscheint modern, zeitgemäß und innovativ oder was bezahlt die Miete am Ende des Monats, ist ein Punkt

Sonal Singh 0
Series: BCBS 239 – Principle 8

Principle 8: Comprehensiveness -  Risk management reports should cover all material risk areas within the organization. The depth and scope of these reports should be consistent with the size and complexity of the bank’s operations and risk profile, as well as the requirements of the recipients. One of the four

SAS Colombia 0
10 razones para optimizar la gestión del riesgo

Las crisis financieras han ocurrido desde los inicios de la historia mundial y forman parte de la naturaleza de los ciclos económicos. Es casi imposible evitarlas, pero sí se pueden desarrollar mecanismos de control y prevención que permitan al sistema financiero fortalecerse y mitigar sus efectos y propagación. Según Javier

Jim Harris 0
A double take on sampling

My previous post made the point that it’s not a matter of whether it is good for you to use samples, but how good the sample you are using is. The comments on that post raised two different, and valid, perspectives about sampling. These viewpoints reflected two different use cases for data,

Sunny Zhang 0
Series: BCBS 239 - Principle 5

Principle 5: Timeliness – A bank should be able to generate aggregate and up-to-date risk data in a timely manner while also meeting the principles relating to accuracy and integrity, completeness and adaptability. A timely and accurate view of risk exposure, aggregated across credit counterparties and financial products could have

Data Management
Sam Munoz 0
Series: BCBS 239 - Principle 4

Principle 4: Completeness – A bank should be able to capture and aggregate all material risk data across the banking group. Data should be available by business line, legal entity, asset type, industry, region and other groupings, as relevant for the risk in question, that permit identifying and reporting risk

Analytics
Leo Sadovy 0
Agility and the Analytic Sandbox

Analytics gives us not just the ability but the imperative to separate our planning activities into two distinct segments – detailed planning that leads to budgets in support of execution, and high-level, analytic-enabled business/scenario planning. My critique of Control Towers in this blog last time led me not only to

Chris Hemedinger 0
Confessions of a SAS Dummy

SAS Global Forum 2014 was a ton of fun, and extremely busy for yours truly. If you wonder how I spent my time at the conference, you need only to visit the on-demand video archive and see how many of the various sessions feature my shiny head. In most of

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