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And if you’re like most data analysts, you know what data you need. But you might not feel that you have the right tools and technology to get the answers you want. You’re still using tools like Microsoft Excel or even writing SQL code to access and prepare data and get critical business insight.
If you are finding that these approaches still leave you depending on someone else to write SQL for you, or you are writing thousands of lines of SQL yourself, Alteryx can help. We will highlight how transitioning from writing code to a drag-and-drop workflow environment will help eliminate the struggles and challenges presented by writing SQL code, leading to better analytics.
From SQL…Structured Query Language or SQL has been the primary database language for over 40 years, and while NoSQL databases like Hadoop and MongoDB have gained popularity over the years, SQL is still king. In fact, in a survey published by Harvard Business Review, 37% of respondents indicated they were still using low-level SQL queries to extract and prep data. Relying on IT and SQL developers to deliver the data they need in a timely manner isn’t working for today’s analysts. So much so that they are taking matters into their own hands and learning SQL on their own to improve processes, not because they want to, but because they feel they have to. Unfortunately, SQL is not always as straightforward as one may think. It is often confusing and difficult to get the SELECT or JOIN statement just right to give you the exact data-set you were looking to analyze.
In contrast, workflows allow you to stop thinking about data and analytics in rows, columns, and tables—and look at them as a process instead. What’s more, a drag-and-drop workflow environment doesn’t require you to get IT involved: you can prepare, blend, and analyze all of your data even multiple data sources—yourself, throughout the analytics process.
Workflows are also transparent and let you and everyone else in your organization, from fellow analysts, to managers or business leaders, to IT, all see and understand the steps you took in your analytics process to get your results. Transitioning from a SQL coding environment to a workflow environment really comes down to changing mindset. To help with this transition and adapt to a workflow environment.