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!
If your business is planning a software product or a software app, do not forget the importance of UI development and UI and Ux Design. A user experience designer is an integral part of the success of your app or software product.
If a business is trying to implement self-serve business intelligence tools, it must look at its organization, processes and culture to determine whether it is prepared to roll-out data democratization and provide direct access to business intelligence tools. Changes in the environment and the expectations can help to empower business users and hold them accountable and to encourage data popularity and data sharing to work toward transformation of business users to Citizen Data Scientists.
Tally® ERP 9 is an accounting and finance solution that is popular among business users in India. As a desktop app, Tally users have no access from outside the walls of the enterprise. Fortunately, Tally in mobile app form has extended the office environment so that users can access the Tally mobile app on the road, from home or from anywhere!
SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise.
Data prep can slow down analytics and cause delays. Self-service data preparation (when done right) can enable business users to leverage sophisticated, easy-to-use tools for self-serve ETL. Data extraction, transformation and loading (otherwise known as ETL) can be time-consuming and requires professional skills but self-service ETL will walk business users through an augmented data preparation process and take the complicated, confusing steps out of the process by helping the user make decisions on how to prepare, clean, reduce and use the data in the best way possible.
For organizations that wish to leverage advanced analytics, the first order of business is to evaluate the maturity of the advanced analytical culture within the organization and among its users and decide whether the entire team is ready to take on the task of accurately analyzing business results, and planning and making course corrections on a daily basis. If the organization is not ready for this change, the business management team must plan for and execute a transition to quickly, carefully, and successfully move the enterprise into the advanced analytics arena.
You just don’t want to make a mistake when you hire an IT partner. You need breadth and depth of experience and up-to-date, cutting edge skills, along with soft skills and leadership for projects. You need delivery models that are flexible for onsite, offsite or hybrid delivery.
I recently attended a panel discussion where representatives from software businesses and web service organizations discussed their unique need to continue to satisfy customers, and anticipate changing requirements while keeping down costs related to staffing, training and development, support and roll-out of products.
Business intelligence and analytics are necessary tools for every business today. No business manager or team member can make decisions in vacuum and business intelligence and analytics tools are key to fact-based, data-driven decisions that will ensure positive results, help the business to avoid missteps and critical errors and allow the enterprise to anticipate changes in the competitive landscape and in customer buying behavior.
