Blend, cleanse and prepare data for analytics, reporting or data modernization efforts
Phil Simon chimes in on the increasingly important topic of data literacy.
Data scientists need good skills in communication, data mining, data wrangling and more. Joyce Norris-Montanari explains.
Jim Harris says data stewards are essential to analytics, providing life cycle management for data across the enterprise.
I recently read an article that said a school in Asheville, North Carolina had the worst chickenpox outbreak in the state in 2 decades. The article was interesting, and it also let me know I had a hole in my knowledge ... "What?!? - There's a chickenpox vaccine?!?" When I
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
Finanzdienstleister haben aktuell massive Herausforderungen beim Management ihrer Daten: Der Kostendruck zwingt einerseits zu einem hocheffizienten Betrieb („run“). Zugleich wandeln sich andererseits die Prozesse im Business, Stichwort Digitalisierung („change“). Die drückenden Regeln der Aufsicht scheinen sich nicht vereinen zu lassen mit dem Anspruch der Kunden, flexibel, fix und doch datensparsam
Reconsider conventional assumptions about data governance – three suggestions for chief data officers.
Joyce Norris-Montanari cites five things she considers essential to data management for analytics.
There are a number of new roles under the EU’s General Data Protection Regulation (GDPR), like the roles of controller and processor. Probably the one that most people are familiar with is the data protection officer (DPO), the person within the organisation who is responsible for monitoring internal compliance with
Phil Simon chimes in with some tips on how to set these folks loose.
Los avances tecnológicos, las expectativas de los clientes y las regulaciones que redefinen el mercado, han sido puntos clave para que el sector de los seguros se enfoque en el crecimiento de sus ventas, su rentabilidad y la lealtad y el cuidado de sus clientes. ¿Qué ha pasado entonces? las
Who says technical people can't have fun!?! Similar to Throwback Thursday / #TBT (when people post one of their old/nostalgic photos on social media), I like the tradition of Fun Friday when I use a fun data topic to test our software - a test can be just as rigorous using
I've worked at SAS for over 27 years and have often been asked: What does SAS do? or Why should I choose SAS? It all boils down to one question: Why SAS? While there are many approaches to answering this question, I recently came up with three short, yet powerful,
Jim Harris says people still play a pivotal role in data-driven decision making.
How do you deploy your model so that business processes can make use of it? This post explores how SAS Viya applications can directly add models to a model repository, and specifically focuses on how to deploy them with SAS Model Manager to Hadoop.
People who work with data have had a number of job titles in my time, including data admin, data specialist, ETL developer and data integrator. The rise of the term data scientist as the de facto job market term for an analyst, however, left us data people a bit high
El universo de los datos es una realidad que está evolucionando más rápido de lo que muchos esperaban. Su impacto en los negocios ha sido tal, que la gran mayoría de las empresas están implementando o pensando en implementar soluciones de analítica que les permitan consolidar toda la información que
The other day I was playing around with the voter registration data for all ~8 million registered voters in North Carolina (yes - this guy knows how to have fun!), and I got to wondering what last names were the most common. I summarized the data by county, and the
How should a data trust process work? David Loshin elaborates.
The information obtained from all your accessible data is a great source of power for your organization to exercise. Information is power! By applying artificial intelligence and machine learning models, you can infer details that might be very sensitive about a person or community, which may or may not be
In my last article, we introduced SAS® Personal Data Compliance Manager and how the solution allows you to record processing activities for complying with GDPR Article 30. However, in certain situations these processing activities could require a Data Protection Impact Assessment (DPIA), also known as a Privacy Impact Assessment (PIA).
In my previous post, I talked about why analytics was fast becoming essential for government. In particular there is rising demand for improved customer experience and increasing pressure from taxpayers to improve cost effectiveness and value for money. With increasing recognition that good customer service is not impossible, government agencies
With SAS Data Preparation and SAS Decision Manager, you can perform out-of-the-box column and row transformations to increase your data quality and build the foundations for data-driven innovation. This blog will discuss how you can leverage SAS Decision Manager to enrich data when preparing it through SAS Data Preparation.
According to the Organisation for Economic Cooperation and Development (OECD), “service performance, citizen satisfaction and public trust are closely connected. Yet how can governments overcome citizens’ declining levels of trust in the way that their data is collected and used in order to improve service accessibility and quality? It’s not difficult
IDC’s April 2017 white paper Data Age 2025 posits that in 2025 the digital economy will multiply by 10 the volume of data now generated, attaining something like 163 zettabytes. Life-critical data - data captured from devices having a direct impact on human life, for example: autonomous cars, remote monitoring
Think that the company has let up in the last two years? Think again.
近年、クラウドファーストを唱える企業が増加し、データ分析のために、クラウド上に展開されている分析サービスを活用したり、クラウド上に独自に分析アプリケーションを構築するケースも増えています。 しかし、クラウド上にある分析サービスやアプリケーションで分析する対象のデータは、オンプレミス上に蓄積されているケースが大半であり、クラウドからこれらのデータにアクセスできるようにするための作業や環境設定は面倒かつ非効率で、膨大なデータをクラウドとやり取りするなどの運用コストも大きく、かつセキュリティのリスク回避も考慮しなければなりません。 こうした課題を解決するために、SAS ViyaではSAS Cloud Data Exchange (CDE)を提供しています。 SAS Cloud Data Exchange (CDE) は、プライベート/パプリックのクラウド上にあるアプリケーション（＝SAS Viya）からファイヤーウォールの後ろにある、顧客のオンプレミス上にあるデータに安全かつ確実にアクセスし、大量のデータをクラウドへ高速に転送することを可能とするデータ接続機能です。 CDEは、SAS Viyaのセルフサービス・データ準備向け製品であるSAS Data Preparationに含まれる機能です。 CDEを使用すれば、クラウド上にあるSAS Viyaからオンプレミス上にある様々なデータソース（Oracle, Teradata, Hadoop etc.）へ最小限の手順で容易かつセキュアにアクセスすることが可能になります。 サポート対象データソース： ・DB2, ODBC, Apache Hive, Oracle, Redshift, SQL Server, Postgres, SAP HANA, Teradata, SAS Data Sets CDEでは、最小限の一つのポート（Https port）を使用し、オンプレミス上にあるデータソースにアクセスするための資格情報（ユーザーID /パスワード）も保護された領域に格納し、使用するため、安全性が高められています。 また、クラウド上のSAS Viyaが複数のワーカーノードで分散構成されている場合には、オンプレミス上のデータを並列で高速にSAS Viya環境へロードすることが可能です。 利用手順概要は以下の通りです。 オンプレミス側にSAS Data Agent
The people, the homes and the businesses you protect are all changing. Technological advancements mean we can now command Alexa or Siri to write a shopping list by speaking to a box in the corner of the kitchen. Or talk to the delivery guy waiting on our doorstep from another
Focus on data governance, quality and storage if you want to do data management for analytics right.
In the previous article of this series, Vincent Rejany explained why Personal Data Protection regulation are calling for better governance of data. Let’s talk now about one building block of these regulations for demonstrating accountability: the records of processing activities, and how SAS® Personal Data Compliance Manager allows to perform
