Okay, so you just purchased a subscrip­tion to Domo. Congrats! You have taken the first step into becom­ing a more data-driven busi­ness profes­sional. You now have this incred­i­bly power­ful tool that can trans­form raw data into beau­ti­ful visu­al­iza­tions and insights right at your finger­tips. It might even seem a bit over­whelm­ing. Where do I start? What am I trying to accom­plish? How can I put the invest­ment I just made into action?

Your urge at this moment is to dive head­first into connect­ing Domo to every data source at your disposal. Although it’s tempt­ing, you will have longer lasting success if you develop an imple­men­ta­tion plan.

Plan­ning your Domo imple­men­ta­tion in advance ensures that precious time and energy isn’t wasted. By creat­ing a plan, and getting buy-in from exec­u­tives, every dataset will be built to solve a busi­ness ques­tion. The follow­ing 3 plan­ning steps plan­ning steps will help you get the most of Domo, and keep you from getting lost in a vast sea of data.

Step 1: Artic­u­late the busi­ness ques­tions you are trying to answer.

Always start with the key busi­ness ques­tion you’re attempt­ing to answer with data. Although it sounds straight­for­ward, teasing busi­ness ques­tions out of exec­u­tive requests can be diffi­cult. “How many visits did the microsite receive?” is not a great busi­ness ques­tion because it doesn’t elicit action. Knowing the number of visits will not help you move your market­ing strat­egy forward. Deter­min­ing “what” or “why” data is impor­tant will help you build better visu­al­iza­tions. “Where am I getting the most value on market­ing spend?” and “What are the most prof­itable prod­ucts online?” are perfect exam­ples of ques­tions that are tied directly to a desired outcome. Knowing the answer to these types of ques­tions will gener­ate busi­ness insights that drive action.

The diagram above shows the inter­re­la­tion between busi­ness ques­tions, metrics, and the data sources.

Step 2: Map Out Your Metrics

Once you have estab­lished your list of key busi­ness ques­tions, the next step is to map out the metrics needed to answer them. Often times a good busi­ness ques­tion will require several metrics to develop a succinct answer, so it’s impor­tant to list out all the data points that are needed. For example, if I’m trying to deter­mine ecom­merce prof­itabil­ity, I’ll need inven­tory infor­ma­tion, prod­ucts sales, and product cost of goods. Another reason it’s impor­tant to list the metrics needed is to avoid bring­ing in too much unnec­es­sary data. By stream­lin­ing your data require­ments, the subse­quent data refreshes will occur more quickly and you can stay focused on what matters most.

To help create a full story of the data, it’s also crit­i­cal to map out your data dimen­sions. Dimen­sions describe the char­ac­ter­is­tics of your data. This gives context to the data once visuals are gener­ated. A few exam­ples of data dimen­sions include geographic region, market­ing channel, and even time of the year. Although the metrics will tell you what is being measured the dimen­sions will deliver value as you analyze the data.

Step 3: Map Out Your Data Sources

Finally, we need to map out the data sources needed to return the selected metrics. Often times it will require two or more data sources to create the neces­sary metrics. For example, website engage­ment data might be kept within your web analyt­ics plat­form, while ad spend data is in your bid manage­ment tool. There­fore, to answer the busi­ness ques­tions of “What campaigns have the highest ROI?” would require spend from the bid manage­ment data source and conver­sion data from the web analyt­ics plat­form.

Plan­ning your imple­men­ta­tion might be one of the biggest time-savers when it comes to working with Domo. Not only does it force you to focus only on the pieces of data that matter to your company, but also ensures you are driving towards answer­ing key busi­ness ques­tions. Answer­ing ques­tions in real-time to drive real change without wasting precious time and energy – that’s the Domo value propo­si­tion.

Still have ques­tions or need support plan­ning a large-scale imple­men­ta­tion, drop us a line! We’re always looking for the oppor­tu­nity to talk data.