How-To Choose The Right Analytics Project For Right Now

How-To Choose The Right Analytics Project For Right Now



The biggest question for any person who is responsible for BI Analytics initiatives within an organization is which topic to tackle the next. There are a lot of possibilities and the list cannot be shortened and could appear overwhelming. An established screening process is broken into simple steps.

It is possible to pinpoint your greatest issues

It's probably easiest to start by identifying the 'biggest' problems. Maybe you're falling short of revenue targets, your manufacturing operations are operating slow, or you're struggling to source materials at a reasonable price. It's likely that you have a good idea of what they are and will not require too much time to create your list. It's not necessary to study the list too much in the moment, however it's important to record everything.

Ask whether the question includes an analytical element.

So you have your checklist of concerns. You can filter the list by determining which issues include analytics. Here's an article that provides the answer to this issue. Certain problems analytics will not solve. If your international parent company has implemented a policy change that is negatively impacting your business, for example, there's probably no way applying analytics can solve the issue. The goal is to narrow your problems down to the ones where analytics can assist. It is possible to think of issues such as forecasting, market and customer segmentation, managing campaigns and even decision-making. What's a tip? An offer?

Review the current processes and decide where it can be included.

The first step is to decide at what phase of your business the application of analytics may have an impact on the quality of your decision. Take, for instance, a national fashion retailer making a season-long collection of winter jackets to teens. How many times might there be data intersections and decision points? There is a good chance that you have sales data, loyalty card information along with weather and statistics. (There are more teenagers in Manukau than Tauranga in the example above). If you haven't already now, it's probably a good time to engage professionals in analytics and insights (in-house or outsourced) and determine three points:

1. What decisions can be better made with analytics?

2. What would it cost worth to improve these decision-making processes with the help of data analytics?

3. How much would it cost to perform the analysis needed?

Consider your options and make a final decision following a thorough evaluation

The goal is almost reached. You've identified the major issues that require BI analysis and identified the relationship between information, decision-making and business processes. The value that could be improved by enhancing these decision-making processes as well as the costs to do so have been quantified. It's now time to calculate. If the return is going to be minimal or average take those tasks on the back burner, because you can find a different way of handling the situation.

You've now got your high-value initiatives analytics.  projetos analytics ? If you've got some alternatives but you're not sure which ones to start on Always ensure that the highest priority is given to ones that align with the vision of your organization's strategic plan.