Data preparation tools come in many shapes and sizes and not all are equal. If your business is interested in implementing a self-serve environment where its business users can become a greater asset to the organization, and use data preparation for analytics, you definitely need to consider ease-of-use for your users and flexibility, sophisticated functionality and mobile accessibility for the good of the organization.
Extract, Transform and Load (ETL) refers to a 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. It offers high quality data, which otherwise resides in poorly structured heterogeneous, complicated data sources.
Some organizations find it difficult to manage data and to take advantage of business intelligence tools. Integrating data sources is necessary, of course, but once the data is integrated, business users, IT staff, data analysts and senior executives must make sense of the data.
There are many facets to Advanced Data Discovery. The processes are sophisticated and the algorithms are exacting, but your business users need not worry about those things. To make the best use of augmented data discovery tools, you need to implement an advanced analytics solution that gives your team sophisticated tools and true insight into data, with flexible, personalized dashboards, and reporting that are easy enough for the average user to adopt.
Self-serve business intelligence tools are no longer new. Nearly every BI tool vendor has an offering in the market. But, not every business intelligence tool is equally useful.
There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis. Assisted Predictive Modeling and predictive analysis tools should include sophisticated functionality in a simple environment that is easy for every business user.
When you decide to implement mobile business intelligence, it is usually because you want seamless access to crucial tools so that your team can perform important tasks in the office and on the road, and share data that will help them make important decisions. Mobile business intelligence must be easy to access and easy to use. A vendor should not dictate the device, the screen size or the setting in which you access your business intelligence data. The solution must be responsive and adaptive and the UI must be intuitive and interactive, no matter what device your users choose to use to access that solution.
Organizations that are currently considering and upgrade or a new business intelligence solution, should focus on advanced analytics capability that is simple enough for its business users to improve accountability and empowerment and cascade information throughout the organization to improve planning, results and competitive advantage. Included in this solution is Smart Data Visualization. This feature suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data. Tools like these can allow the average business user to leverage sophisticated tools without the knowledge and skill of an IT pro or a data scientist.
One thing we all know about the hospitality and entertainment industry is that it is very competitive and that consumers have a lot of options and choices. In this competitive market, it is more important than ever to have the data and information that will help you make business decisions about new products, new channels, custom behavior and local and global competition.
Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation.
