Has creating reports with traditional business intelligence tools such as OBIEE, Business Objects, Cognos, and MicroStrategy become tedious and time-consuming? You’re not alone.
More up-to-date data visualization tools such as Tableau, Power BI, and Qlik are increasingly becoming more popular amongst both business and IT users and for valid reasons. Often, these tools can help achieve critical tasks that are vital to an organization’s bottom line, such as:
- Determining which factors may or may not be influencing your customer’s behaviors.
- Providing clearer understanding which products and services to place where.
- Identifying areas that need attention or improvement.
- Predicting sales volumes.
So, what signs indicate that you need to upgrade your existing data visualization tools?
For business users, it’s often that ad-hoc analysis is a challenge, tapping into vital new data sources is difficult or impossible and that there is a steep and time-consuming learning curve involved in creating visualizations.
For IT departments, witnessing that business users are adopting new tools and a more agile perspective while their BI backlog is building up are often all signs that their current tools are becoming increasingly obsolete.
It should not be a burden to use your company’s data visualization tools. Nor should creating reports be a tedious and time-consuming task. Traditional business intelligence tools such as OBIEE, Business Objects, Cognos, and MicroStrategy offer unrivaled metadata and security capabilities. However, they can make creating reports unnecessarily inefficient and labor intensive. But it does not have to be this way.
In order to stay cost, resource, and time-competitive and to speed up an understanding of critical revenue drivers, companies are increasingly adding new data visualization tools such as Tableau, Power BI, and Qlik to their analytics toolkit. Is this time to upgrade your data visualization platforms?
Download our whitepaper to know in more depth on what six signs to look for and what pitfalls to avoid when choosing a more modern data visualization platform.