What are some good tools to use to gather and present data / dashboards? Tableau, Power BI, WebFocus? Others?
Manager in Services (non-Government), 2 - 10 employees
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 Services, Self-employed
It does not hurt that it is integrated into Microsoft 365, which makes it easier to adopt.
Chief Data Officer in Media, 2 - 10 employees
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 Banking, 5,001 - 10,000 employees
I have not heard of Watsonx. I will take a look at it. Appreciate the feedback.
Chief Information Officer in Software, 11 - 50 employees
Have not used WatsonX but did use Watson. It is quite powerful.
Director of Data and AI in Banking, 10,001+ employees
A natural language interface based on Open for PBI launched this week.
Chief Data Officer in Insurance (except health), 51 - 200 employees
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.CTO in Software, 11 - 50 employees
The tool used for gathering and presenting data, in my opinion, relies on your specific needs and preferences. To choose the tool that best fits your needs and existing infrastructure, it is advised to compare them based on aspects including data connectivity, visualization capabilities, ease of use, collaboration features, and pricing. However, I can advise using Tableau.Director in Manufacturing, 1,001 - 5,000 employees
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
Chief Data Officer in Services (non-Government), 1,001 - 5,000 employees
We had used Tableau, PowerBI and Apache Superset.Tableau- Definitely a great tool but check licensing cost if you have too many users
PowerBI- A great tool. Currently we are using this. Cost-effective too. If your management wants excel like functionality like row-wise formatting, it will be helpful.
Superset- Much like Tableau but open source, so free. Had used ~ 4 years back. Scalability was a challenge then. Now heard it has improved.
Head of Data Strategy in Software, 51 - 200 employees
PowerBI seems to be gaining significant market share over the last few years - we use it internally as well as bundling it as an analytics layer within our product. Director of Product Management, 5,001 - 10,000 employees
I've used Qlik and PowerBI in the past. Both are great dashboard tools!Content you might like
CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.Exclusively via organization-managed desktops, laptops, and mobile devices (phones and tablets)40%
Via a hybrid of organization-managed AND employee owned desktops, laptops, and mobile devices (phones and tablets)50%
Exclusively via employee owned desktops, laptops, and mobile devices (phones and tablets)6%
Other4%
223 PARTICIPANTS
MS Teams65%
Google47%
Cisco (Webex)18%
Zoom24%
Other0%
17 PARTICIPANTS
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.).