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Creating an Analytic Culture for Digital Transformation
What are the key elements needed to create an analytic culture? How can data science transform an organization and help achieve higher ROI? These are questions that many organizations are currently struggling with as they think about putting a data science team in place or reaping the benefits of one already up and running. In my upcoming blog series, we will cover many of these questions to help show how focusing on the following five key areas will ultimately lead to extraordinary results for your organization. Read on to learn more.
With the release of Alteryx Analytics 2018.2, we continue to help enterprises uncover hidden analytic possibilities and centralize the discovery of all their data sources. For Alteryx + Snowflake users, this comes by way of a newly announced bulk data connector and metadata loader for Snowflake.
Several different factors must be considered when thinking through how an enterprise can scale its analytics effectively. Learn how added Alteryx and Databricks functionality in our 2018.2 release can help.
With so much news and focus on AI and machine learning, why is there such a big discrepancy between analytic organizations and their ability to evolve and embrace emerging technologies? Reality is that a business can’t successfully make the shift to a whole new way of operating if they don't have a solid foundation to build off. Learn how you can confidently embrace AI and machine learning.
With the release of 2018.1, Alteryx delivers increased analytic flexibility for users and builds on our great partnership with Amazon Web Services (AWS). The new Amazon Athena and Redshift Spectrum connectors further empower Alteryx users to harness the full value of their existing analytics architecture and emerging big data assets.
You may have heard the term "self-service analytics," and this is what we're talking about. Understanding how self-service analytics can fuel the enterprise analytic competency will improve your organization's ability to perform meaningful data analysis by department — or even by individual — in a way that provides analytic freedom to anyone who wants it.
In recognition of its expertise in solving data challenges, and enabling machine learning and data science workflows seamlessly in the Amazon Web Services (AWS) Cloud environment, Alteryx has earned a Machine Learning Competency Certification by AWS.
What's your organization’s top overall three strategic priorities? Can you confidently connect the dots between the KPIs, dashboards and models your team is developing right now, and your departmental, organizational, and enterprise-wide strategies? If your analytics programs are a little more ad-hoc, then you have an "analytics disconnect" — and your team is not getting the full value from the time and technology investments in analytics they're making. Read on to see how to better align your analytic activities with business strategies.
In recent years, the analytics playbook for success has required reinvention — because analytics itself has changed so much. Everyone wants to deploy analytics. But experiencing the thrill of being successful at deploying analytics isn't an accident — you need a plan and proper execution. There are four strategic obstacles to success, each with three practical issues that come up repeatedly. Read on to learn what these common obstacles are and how to overcome them.