Creativity is the lifeblood of an enterprise! But, it is easy to get into a rut and do what has worked in the past. If a business is to succeed, it must constantly generate new ideas and new ways to address the market and its consumers. Augmented Data discovery and the new world of self-serve tools has added an interesting dimension to this discussion as it encourages business users to become Citizen Data Scientists and encourages organizations to embrace data democratization.
Self-Serve Data Prep Balances Data Agility with Data Governance!
If your business understands the value of self-serve data preparation and augmented analytics, but your IT team or senior management is concerned about data governance and data security, you need not worry. You can use self-serve data prep tools and self-serve data ETL for data extraction, transformation and loading and still ensure appropriate data governance.
Self-Serve Data Prep Takes the Pain Out of Data Preparation!
Let’s talk about data preparation! That often cumbersome, always complex process by which data scientists and IT professionals gather and prepare data for analysis. Data prep involves the extraction and transformation of raw data to prepare that data for analysis. It includes cleaning and reducing that data by removing outliers and standardizing data formats, among other things. Without data preparation, data analysis can often be misleading and incorrect – garbage in/garbage out, if you will.
Why is Self-Serve ETL and Self-Serve Data Prep Important?
If your business spends a lot of time and money on the task of extracting, transforming and loading data (ETL) and preparing that data for analysis, you might want to consider the advantages of self-serve data ET. Self-Service ETL can and should be easy enough for business users so that your business can enjoy the benefits of advanced analytics without hiring a team of data scientists or IT professionals.
Don’t Be Intimidated by ETL and Data Prep. It’s EASY!
When you hear the term ‘Extract, Transform and Load’, does it make you want to run in the opposite direction? ETL, as it is called, refers to the process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.
How About Giving Your Business Users the Power to Prepare Data for Analysis?
Can Your Business Achieve Self-Serve Data Prep? Lots of my friends talk about the difficulty of preparing data for analysis and how long it takes to get IT or data scientists or analysts to take on the project, get the data prepared and run reports or perform analytics. Frankly, this problem is a puzzle to me!
Augmented Analytics Tools and Data Prep Tools Make Life Easy for Business Users!
In today’s world, advanced analytics is for everyone. There is no reason to limit access to data preparation software or advanced predictive analytics to data scientists, analysts and IT staff. The evolution of augmented analytics and intelligence augmentation has created some impressive tools and solutions that allow business users with average skills to use self-serve data prep and complete data preparation using auto-recommendations and suggestions to work through the process easily and with no confusion.
Augmented Data Preparation for Business Users Offers Many Benefits!
If your enterprise is entangled in complex data preparation and manipulation, and you want to simplify and expand the use of data preparation to leverage data integration and self-service data prep, you need to explore the potential of augmented data preparation. Data extraction, transformation and loading (ETL) can be a complex, time-consuming process, but self-serve data prep is ETL for business users.
Is An Augmented Analytics Solution Right for My Organization?
Self-Serve Data Preparation is a critical component of augmented analytics. If these terms seem foreign to you, just know that they represent the future of business analysis. As organizations adopt self-serve business analysis, the business user with average technology skills must be able to leverage tools that are sophisticated, yet easy to use.
Self-Serve Data Prep Should be Just That – Self-Serve!
Self-serve has many meanings. You can pump your own gas, you can serve yourself at a buffet, and sometimes you can even do your own data preparation. You will notice that I said ‘sometimes’. That is because you have to choose the right tool if you want to really participate in self-serve data preparation.