Home / Resources

Enter your email and receive updates with actionable advice on analytics

       

    By clicking the “Subscribe” button you agree to the Terms of Service and Privacy Policy


    Overview of MLOps

    Overview of MLOps
    Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.
    Read More

    Ensuring that citizen developers build AI responsibly

    Ensuring that citizen developers build AI responsibly
    The AI industry is playing a dangerous game right now in its embrace of a new generation of citizen developers. On the one hand, AI solution providers, consultants, and others are talking a good talk around “responsible AI.” But they’re also encouraging a new generation of nontraditional developers to build deep learning, machine learning, natural language processing, and other intelligence into practically everything.
    Read More

    5 Key Best Practices for SEO Testing (+9 Ideas to Try Now)

    5 Key Best Practices for SEO Testing (+9 Ideas to Try Now)
    Just as nature abhors a vacuum, so too do marketers regard uncertainty. Despite years spent learning the ins and outs of SEO, no marketer knows the exact weight of the more than 300 variables calculated in Google search results—including Google engineers. The company’s advice has been relatively consistent on the matter—create high-quality original content and get inbound links from high authority sites—but this still leaves a lot to the imagination.
    Read More

    SEO Website Analytics: Going One Step Deeper Into GA

    SEO Website Analytics: Going One Step Deeper Into GA
    Website analytics can tell us a lot about our audience and how they interact with our site. Oftentimes, we rely heavily on these analytics for reporting. But what if I told you that Google Analytics provides data that can be used as a strategy tool? In this post, we are going to quickly look at three very specific, very actionable Google Analytics views for uncovering SEO opportunities.
    Read More

    Bringing AI predictions to Tableau with Einstein Discovery

    With the upcoming Tableau 2021.1 release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. We’re bringing powerful data science techniques closer to the business, beginning with Einstein Discovery in Tableau. Users across the organization are now enabled with powerful predictions and recommendations to make smarter decisions faster. There are three ways to leverage the core ML technology of Einstein Discovery in Tableau—all with no coding required: 
    Read More

    Top IT spending priorities for 2021

    Top IT spending priorities for 2021
    The pandemic will continue to influence IT budgets in the next 12 months in ways both large and small. Organizations will rely on technology to improve remote work infrastructure, expand digital transformation initiatives, and create or enhance a variety of customer services.
    Read More

    Analytics On The Bleeding Edge: Transforming Data’s Influence

    Analytics On The Bleeding Edge: Transforming Data’s Influence
    Analytics teams are named for the silos and limitations within which they trap themselves. Paid Media. Owned Media. SEO. BI. Customer Service. Data Warehousing. Email. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is […]
    Read More

    What is DataOps?

    What is DataOps?
    DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams, including data engineers,…
    Read More

    The rise of DataPrepOps

    The rise of DataPrepOps
    Modern data development tools and how data quality impacts ML resultsPhoto by NASA on UnsplashML is all around us! From healthcare to education, it is being applied in many domains that affect our daily activities and it’s able to deliver many benefits. Data quality carries a very important and significant role in the development of AI solutions — just like the old “Garbage in, garbage out” — we can easily understand the weight of data quality and its potential impact in solutions like cancer detection or autonomous driving systems.
    Read More

    What analytics leaders need to know about graph technology

    What analytics leaders need to know about graph technology
    The massive data sets, complex processing capabilities and advanced analytical models in the current digital business landscape create the perfect storm of opportunity for data and analytics. After languishing for decades, graph approaches are being embraced by analysts, data scientists and data management professionals. Graph technology is a sort of catch-all phrase that includes graph theory, graph analytics and graph data management.
    Read More

    Power BI March 2021 Feature Summary

    This month, we are continuing our work on the ongoing previews of DirectQuery for PowerBI datasets and Azure Analysis Services, Small Multiples, and the Model View UI. Also, we are making it easier to specify filters in the DAX CALCULATE function. On the Service side, when you click on a dataset in the workspace list view you will be taken to our new dataset details page, which includes information about when the report was last refreshed as well as actions such as creating a new report. Of course, there is much more, so read on!
    Read More

    Google Reveals What Personal Data Chrome and Its Apps Collect On You

    Google Reveals What Personal Data Chrome and Its Apps Collect On You
    Privacy-focused search engine DuckDuckGo called out rival Google for "spying" on users after the search giant updated its flagship app to spell out the exact kinds of information it collects for personalization and marketing purposes. "After months of stalling, Google finally revealed how much personal data they collect in Chrome and the Google app. No wonder they wanted to hide it," the company
    Read More