{"id":3213,"date":"2021-05-20T18:08:56","date_gmt":"2021-05-20T18:08:56","guid":{"rendered":"https:\/\/www.biconnector.com\/blog\/?p=3213"},"modified":"2021-06-04T14:42:09","modified_gmt":"2021-06-04T14:42:09","slug":"4-ways-to-level-up-your-data-analytics-beyond-dashboards","status":"publish","type":"post","link":"https:\/\/www.biconnector.com\/blog\/4-ways-to-level-up-your-data-analytics-beyond-dashboards\/","title":{"rendered":"4 Ways to Level Up Your Data Analytics Beyond Dashboards"},"content":{"rendered":"\n
Dashboards are a great way to get a sense of the current business scenario. However, that\u2019s not the only thing users practically rely on for decision-making.<\/p>\n\n\n\n
Gone are the days when creating a single source of truth, and building user-friendly dashboards defined the success of an organization\u2019s Data Analytics initiatives.<\/p>\n\n\n\n
There\u2019s no denying that dashboards are necessary, but that\u2019s just not sufficient for decision-making from an end-user perspective. The end-users deal with much more dynamic scenarios that dashboards don’t have an answer for.<\/p>\n\n\n\n
The major drawback of dashboards is it is limited to the information which the users (or the dashboard creators) foresaw they need for decision-making. <\/p>\n\n\n\n
However, in reality, the dashboard users face many uncertain scenarios that force them to look for information beyond the dashboards (and supporting reports) in order to make confident data-driven decisions.<\/p>\n\n\n\n
The good news is that some organizations have started moving beyond dashboards to help their dashboard users get rid of its limitations!<\/p>\n\n\n\n
In the context of the untold pains of dashboard users discussed above, let\u2019s take a quick look at the 4 ways to level up your organization\u2019s data analytics beyond dashboards!<\/p>\n\n\n\n
The leading Business Intelligence (BI) platforms such as Tableau, Power BI all have Natural Language Processing (NLP) capabilities, and are continually improving it.
<\/p>\n\n\n\n
When the user has a question, and doesn’t find its answer in the dashboard or reports presented to them, they can simply type the question in natural language (or conversational tone), and get the answer.
<\/p>\n\n\n\n
A good example of such a question is – How many units of product A were sold in NY city last month?
<\/p>\n\n\n\n
The leading BI platforms don’t require any complicated setup to leverage the NLP feature. All the users have to do is just type-in the question and gain insights.
<\/p>\n\n\n\n