Empowering Others with Governed Self-Service Data Analytics
Business teams and analysts have embraced self-service data preparation and analytic tools for their speed, ease-of-use and flexibility. However, many of these business users have implemented their own analytics strategy without cross-team or IT collaboration, jeopardizing data quality and governance.
With the goal of aligning the needs of both business and IT, leading Data Management professionals are tackling these issues head-on by harnessing the analytic talent throughout the organization, and standardizing on a centrally governed, yet-easy to learn, enterprise-grade analytics platform.
Operationalize your data and analytics processes
Today’s enterprises are challenged with data and analytic silos that run deep inside an organization. Data Management leaders have the unique opportunity to break down these silos and unify Business and IT.
Alteryx is creating analytics heroes in organizations through analytic governance –empowering business users with self-service tools that deliver greater efficiency and improved data quality. Get the recognition you deserve by aligning disparate teams and enabling collaboration in a secure and centralized environment for improved consistency, repeatability, and trusted analytic processes.
Ensure analytic governance and best practices
To unleash the power of self-service data analytics tools, you need a strategy that can scale-out across the organization in a production-ready environment without creating havoc. This means safeguarding data quality and providing transparency and auditability within analytic applications to ensure data management best practices are being met.
With Alteryx you can improve analytic governance – including security, scalability, and reliability –while simplifying and accelerating how everyone in your organization consumes analytics that leads to business agility and data-driven decision making.
Alteryx Transform Date Time
Use date/time functions in the expression editor to create, manipulate, and format date and time values.
Alteryx uses the ISO format yyyy-mm-dd HH:MM:SS to represent dates and times. If a date/time value is not in this format, Alteryx reads it as a string. To convert a column for use and manipulation in the date/time format, use the DateTimeParse function in the expression editor or the DateTime Tool.