What are some good tools to use to gather and present data / dashboards? Tableau, Power BI, WebFocus? Others?
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IT Manager in IT Servicesa year ago
We use Power BI in our company, which is a great tool to gather and present data. Power BI allows us to create visually stunning dashboards that can be shared with colleagues to help make informed decisions.Principle Consultant in IT Servicesa year ago
It does not hurt that it is integrated into Microsoft 365, which makes it easier to adopt.
Chief Data Officer in Mediaa year ago
PowerBI is an excellent tool. Tableau used to be my favorite, but it’s fallen behind a lot in the last 2 years. I got a demo of Watsonx this week, and it’s impressive. They have a natural language interface that lets users ask for categories of data, and the engine recommends tables (text to SQL). It can even pull in field descriptions from the data catalog, making the results easier to understand. It’s worth evaluating.SVP Disaster Recovery and Data Management in Bankinga year ago
I have not heard of Watsonx. I will take a look at it. Appreciate the feedback.
Chief Information Officer in Softwarea year ago
Have not used WatsonX but did use Watson. It is quite powerful.
Chief Data Officer in Insurance (except health)a year ago
I've used and implemented many.....the best tool is the right one for your current and expected use cases and fits with your data and stakeholders. There is no such thing as the best one in my view.Director in Manufacturinga year ago
We had a lot of great success with Tableau. If you provide the initial training to business IT and non-IT employees you can get some amazing results providing great insights into the business The only drawback can be maintenance if the creator leaves the company or changes divisions. The business may expect IT to supply the support and creativity to continue the life of the reports. Set clear written guidelines to ensure the business owns the self developed tools
It really depends upon whom your target audience is, how you want to present the data and through which methods, and how you want to analyze the data per the data orchestration process (inbound or near real time analytics, data mart or data warehouse type extractions or categorizations, applied at outbound reporting, etc.).