Skip to main content

Why Do You Need Self-Serve Data Preparation?

Self-Serve Data Preparation Takes the Headache Out of Data Analytics!
Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. The idea behind self-service data preparation is to give the average business user the ability to prepare, use, report on and share data without the assistance of IT staff or analysts, thereby making their jobs easier and making every team member more of an asset to the organization.
Business users love Self-Serve Data Preparation because they can control data elements, and the volume and timing, perform data preparation and test theories and hypotheses by prototyping on their own. No one likes to be restricted to complex tools or forced to wait for programmers or data scientists.


Give your business users access to crucial data and connect them to data sources so they can mash up and integrate data in a single, one-stop, interactive view. Great Data Preparation for analytics allows users to leverage auto-suggested relationships, JOINs, type casts, hierarchies, and reduces and clarifies data to make it easier for users to interpret and analyze data.
Business users with average technical skills can capitalize on integrated statistical algorithms like binning, clustering, and regression for noise reduction, and trend and pattern identification, and do it all without assistance. And, if your organization is concerned about data governance, there is no reason to worry. Your organization can promote data and reports created by business users to IT provisioned, and IT approved data sources, and identify these data sources with clear watermarks to provide an appropriate balance between agility, governance and data quality.
Labels:

Comments

Post a Comment

Popular posts from this blog

Evaluating Enterprise Data Literacy

 Any organization that aims toward complete digital transformation must move toward Enterprise Data Literacy. So, what exactly is Data Literacy? Gartner defines Data Literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the use case, application and resulting value.” According to the Gartner Annual Chief Data Officer (CDO) Survey, an absence of Data Literacy is the primary reason behind CDOs’ inadequate performance. To combat this, more and more enterprises are engaging in “competency development in the field of Data Literacy.” In a digital culture, the goal is to make data accessible and available to all employees – not just to data scientists, analysts, or CDOs. Right now, most business executives realize that all employees need to “communicate in a common data language,” but data regulations, and privacy and security policies are ...
Post a Comment
Read more

BI for Customer Relationship Management

Can Business Intelligence for CRM Help Attract and Retain Customers? Customer service and customer satisfaction are the backbone of customer relationships. In an effort to ensure customer satisfaction and retention, businesses spend a lot of time trying to understand buying behavior, customer expectations for product support, website support and product and service variety, as well as gaps in product and service offerings. If an organization can accurately monitor and measure customer service factors and customer satisfaction, it is easier to resolve issues and capitalize on opportunities and to anticipate customer needs and fill market gaps. The goal is always to attract new customers, retain existing customers and obtain those all important client references. Business Intelligence for CRM  is crucial to business success. Your competitors have already embraced metrics and KPI for customer relationship management to provide objective metrics and understand what tasks an...
Post a Comment
Read more