Data analysis and data visualization in sales
The right solution for every use case
Delivering the right information to the right people at the right time in a specific location is a huge challenge for a company's sales department. In the following, we have prepared some use cases that are frequently requested and which we implement regularly.
sales management
challenge
Data for distribution and sales can be found in a variety of different systems and data sources. However, there is often a lack of overview of the pipeline, meaning that sales professionals repeatedly have to invest valuable time in manual data search and merging in order to be able to successfully manage sales.
The prerequisite for successful sales management is always up-to-date, consistent and reliable data. As a result, they enable strategic and operational decisions and rapid responses to changing market conditions.
Our Approach
In the future, we ensure that all relevant sales data, such as CRM and ERP data, is brought together quickly and automatically and can be evaluated across the board. As a result, sales management can keep an eye on the pipeline, forecasts and performance anytime and anywhere. Sales overviews are increasingly being generated at the push of a button. With the option to look into the details at any time or create further evaluations and dashboards yourself. As a result, there is always a clear view of the deals behind the data. Self-service BI solutions such as tableau or Power BI offer the advantage of simply creating reports yourself and acting agilely on the market.
Dealer control
challenge
If you want to sell a product, you need sales channels and a network of retailers and distribution partners. Access to relevant information is required in order to be able to evaluate and manage the success of retailers in a targeted manner. Currently, this access is often achieved by exporting data from ERP (for example SAP) and other systems. As a result, data must be laboriously compiled manually and prepared in the form of large-scale Excel spreadsheets. This makes it difficult to view the data and find relevant information on dealer management.
Our Approach
To support sales representatives and other people who communicate directly with sales partners, well-structured dashboards and reports are suitable, in which the most important information is presented in such a way that insights immediately catch the eye. As a result, questions can then be answered immediately, such as why a retailer sells less of certain products compared to others and what are the reasons for this. In this way, employees can act as competent consultants for sales partners, so that they make their own company more successful overall.
In this context, solutions offer particular advantages for Self-service BI such as Tableau or Power BI. Thanks to the simple usability of the solutions, users not only have to rely on standard reports provided in advance, but are also able to carry out a detailed analysis of the data on site at retailers. In this way, they can specifically answer the questions that are most important in the respective situation.
Product range analysis and demand forecast
challenge
Every company aims to sell as many products as possible in order to increase sales. In addition, however, as much as possible of the products that offer the highest margins should be sold in order to achieve high profits. Practice shows that profits are often made only with a small part of the product range. In addition, the predicts future customer demand so that the product range can be optimized.
To remain competitive, wholesalers and retailers must be able to analyze trends and respond quickly and precisely to unusual events. Every day that a decision is postponed can lead to a drop in sales and profits.
Our Approach
Modern self-service BI is able to correlate all data — regardless of source or format — and analyze data from any device at any time. With solutions such as Tableau or Power BI, users can obtain information exactly when it is needed — at the point of decision. So that profit opportunities, sales, margins and market changes or product sales can be monitored in real time.
Call center/customer service center
challenge
All activities within a call center are linked to three interacting dimensions: time, quality and costs. The task is to reconcile the time required to provide services with the desired quality and at reasonable costs. Effective control is required so that the dimensions can be coordinated successfully. A typical challenge here is the collection of information and preparation of reports for management.
Reports in call centers are usually still created using standard spreadsheet programs, which are in many cases filled manually. This approach has a great potential for errors, requires a great deal of effort and ties up personnel capacities. Other hurdles include inconsistent data sets, too static reports and the lack of flexible, dynamic evaluation options. The result is that in many call centers, control is more reactive.
Our Approach
As a platform for implementing more proactive control, modern BI technologies on. Lightweight technologies such as Tableau or Power BI can make day-to-day operations in the call center enormously easier, as they bring together all essential information for control and provide it in intuitive, interactive dashboards.
Once the required data sources have been brought together, information is available to the responsible persons almost in real time. In addition, in the next step, the database offers the opportunity to implement proactive planning of personnel capacities using predictive models. This not only increases service quality, but also saves time and costs.
We ensure that call center management is much more efficient and targeted in the future by automating data preparation and providing an intelligent data platform including interactive dashboards.
ecommerce
challenge
When optimising online shops, the use of professional web and shop tracking is largely standard. Key figures such as conversion rate, shopping cart abandonments or average shopping cart height are well known. However, web tracking only shows a partial view of customer behavior. Important data and key figures can only be included by integrating additional data sources. This includes, for example, information on returns, offline sales, costs and margins, Customer lifetime value or ROI. The prerequisite is therefore an integrated database that is available at any time and allows a holistic view.
Our Approach
Tableau or Power BI have a variety of integrated interfaces. Data from Google Analytics, for example, can simply be drag-and-drop linked to key figures from other systems (ERP, CRM) in a single dashboard, analyzed and presented in a visually appealing form. Largely without support from IT and in-depth statistical knowledge. The dashboards can also be easily shared with other users or made available centrally. If further questions arise during the analysis, these can be answered in real time by the user himself using in-depth data analysis (data discovery).
Omni-channel retailing
challenge
If you want to survive in fierce competition in the retail sector, you must not only keep an eye on purchasing costs, but also constantly optimize efficiency in sales. A structured collection and use of data to manage sales channels is already the basis for a competitive advantage that will be even more decisive for success in the future.
It is a challenge for retailers to integrate data on transactions and customer behavior in the individual trade channels (stationary stores, online shops and mail-order catalogs) for a comprehensive analysis.
But it is only the combination and analysis of data from the various trade channels that makes it possible to Formation of relevant buyer segments. And the understanding of the function and interaction of sales channels in the customer journey of the respective buyer group is also strengthened. Based on this, marketing activities can be geared to customer value, for example, and sales promotion campaigns can be managed and optimized.
Our Approach
We are enablers for retail. By merging data sources and in intelligent, flexible data platforms integrate, we create the basis for evaluating the data. With modern solutions for data analysis and visualization. With the support of taod, you can gain comprehensive, cross-channel insight into your business.
We help to understand the interplay of sales channels in relation to customers, products and regional influences and to use the findings for corporate success.
Analyzing all sales activities and being able to provide all necessary operating figures up to date requires an intelligent and versatile software solution. Only it can guarantee the sales team's maximum sales quality and make adaptations to changing sales structures flexibly possible at any time.
Self-service BI solutions such as Tableau or Power BI have a variety of interfaces to data sources such as databases, applications or cloud services, which now make data accessible to specialist areas without complex barriers to entry.
taod helps you select the appropriate technology and implement it. We ensure that departments can work independently but in coordination with IT. As experts in modern data visualization, we help you implement the first visualization. On request, also continuously.
