How customer advocacy program
boost sales
How to create a customer advocacy program that will help you increase your sales
From start to finish, analytics is a marathon with numerous steps. Numerous organizations have begun this marathon, but they haven't completed it. Before we even start with data storytelling, there are a few things we need to finish this marathon.
Collecting data regarding the operations of our business.
Transforming and cleaning the data to make it suitable for reporting and analysis.
We display data in dashboards and summary reports to help people keep an eye on company performance.
Analyzing the data to identify methods for raising performance.
Disseminating our research results to facilitate improved decision-making (data storytelling).
Acting to provide value to the business by acting on these insights.
Almost all businesses nowadays are gathering data. The presentation of reports based on this same data has also become standard practice, particularly as businesses realize more and more how much insight can be obtained by looking at the numbers, and many are benefiting from this practice! However, despite this effort, there appears to be a noticeable decline in the ability to take collective insights, accurately understand them, and implement meaningful change to, for example, maximize corporate goals.
Analysts who are irritated because they are unable to manipulate their data are not unusual. They feel uninspired by working from the same dull reports over and over again, but they have lots of ideas about how to interpret and present their findings.
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How can you fix this problem?
Start with some automation and simplification to meet some of the technical requirements of this project. For example, if you can automate some of the time-consuming procedures that are currently in place for your firm, you can use that time to ensure that the product that is being given to your clients is flawlessly made.
Companies that attempt to do too much in one area also make mistakes. Refining the scope of your analytics work to focus more intently on a single aim could be better for your project than trying to solve issues in a multitude of areas at once. If you can prove that this is achievable, you might find that focusing your efforts during the later stages of the analytics process can help generate some momentum for further improving your project by narrowing your focus even more on what will work best.
Organizations must complete the analytics marathon to gain the most return on their investments in analytics. We are all aware that analytics initiatives frequently get off to a great start, but when their constraints become more obvious, things usually slow down. Avoid giving up at the last hurdle! Make sure your data platform is set up for success by considering variables like company size and corporate culture, which may make some solutions more effective in your specific situation than others.
Lyftrondata's state-of-the-art technology can provide rapid results for you and offers high availability and concurrency for contemporary analytical and business intelligence apps like Looker, Tableau, PowerBI, Sisence, PeriscopeData, etc. at all scales. For BI tools, Lyftrondata acts as a semantic data layer and data hub. It makes it unnecessary for BI users to manually construct data pipelines, enabling them to work together to create data models that incorporate real-time data or just replicate data when needed.
Make the right choices more quickly by utilizing Lyftrondata's unparalleled analytics
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