Advanced Analytics Resource Page 2017-12-10T11:44:39+00:00

your advanced analytics resource page

why, when, and how to use Advanced Analytics in your organization

advanced analytics 101

watch and learn


  • What is Advanced Analytics?
  • Advanced Analytics is the use of highly scalable architectures, statistical and machine learning models, and intelligent dashboards to provide you with meaningful insights that were out of reach until now.
  • What is Machine Learning?
  • Machine learning, or predictive analytics, are algorithms that identify and learn from relationships in your data to make predictions and guide your decisions.
  • What is Cortana Intelligence Suite?
  • Cortana Intelligence Suite is a fully managed big data and advanced analytics suite, which allows you to perform and deliver real-time, intelligent, big data technologies and predictive analytics in the cloud.
  • What is IoT?
  • The Internet of Things is a term used to describe our growing world of connected devices. From smart phones to smart buildings, everyday things are continuously producing, sending, and receiving data that you can take advantage of today.

get started

what kind of data user are you?

get big insights from “small” data

SQL Server 2016 and R are ideal for predictive analytics

  • Step 1: Upgrade to SQL Server 2016
    SQL Server 2016 includes R Services, allowing you to get predictive analytics without moving your data.
  • Step 2: Build your R scripts with ScaleR
    Optimize the R scripts in your stored procedures by taking advantage of ScaleR and its ability to process large amounts data asynchronously.

the world is your oyster

  • Step 1: Process your data with HDInsight
    HDInsight (Hadoop in Azure) allows you to create clusters on demand so you can extract valuable insights from your unstructured data in a timely and cost-effective manner.
  • Step 2: Collect streaming data
    Azure Stream Analytics applies transforms and machine learning functions to streaming data in near real-time so your insights are always current.


Northwest Cadence works with organizations of all sizes, industries, and skill sets. We offer custom and packaged solutions to help you embed enterprise level intelligence into your applications and processes.


  • How does an organization begin to think about data analytics?
  • Start by compiling a list of business problems that your organization faces. These are generally the questions that reports and meetings are trying to answer. Once these issues are identified, predictive analytics can be used to automate decisions, or at least add confidence to your decisions.
  • How do I know if I have big data?
  • Although there are conflicting definitions, you know that you have big data when the amount (and arguably structure) of data you are trying to process becomes part of the problem. If this is the case HDInsight or Azure Data Lake may be an ideal solution.
  • When should I use an IoT Hub instead of an Event Hub?
  • Use an Event Hub to ingest large streams of asynchronous messages, typically through HTTP, in a highly scalable and cost effective way. Use an IoT Hub when you need to register devices for bi-directional communication allowing you to set rules and transfer files. Messages are typically HTTP or MQTT.
  • How can I improve my reporting?
  • If you’re not using Power BI, you should be. Power BI has powerful cross-filtering capabilities, real-time streaming data displays, and ad-hoc natural language query-ability. You can also share your reports across your organization with Organizational Content Packs. (Review the Power BI Documentation to learn more.)
  • How do I get started with Advanced Analytics in my organization?
  • Contact Northwest Cadence for a Complimentary Envisioning Session with a Data Analytics expert.
  • How do I know if I have a good Machine Learning Model?
  • The two most common machine learning models we see are Regression and Classification. Azure Machine Learning Studio lets you evaluate your models fairly easily. Simply look at the graph in the Evaluate Model module. For Classification models, as a basic guideline you want the line to hug the top-left of the ROC graph. For Regression models, the Coefficient of Determination (R2) is generally a good indicator. That is, the closer to 1 it is the better.
  • What type of data should my business collect?
  • All of it! There is nothing more frustrating than coming up with a valuable idea or facing a tough new problem that could be solved with data, then having to wait six months to aggregate the data you need. Take advantage of the inexpensive storage solutions Azure has to offer and you’ll soon start to see how many of your problems can be solved with the data you collect.
  • Where can I find out more about Advanced Analytics, Power BI, or IoT?
  • Schedule an Informational Session with a Northwest Cadence expert.

why Northwest Cadence

Northwest Cadence has been recognized by Microsoft as a leader in Data Analytics and Cloud Platform. Our Gold competencies were earned through experience, customer satisfaction, technical credentials, and Microsoft accolades. Northwest Cadence helps software teams modernize their applications and business with Advanced Analytics, Internet of Things, and Microsoft Cloud.

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