Sales Analytics: Everything You Need to Know When Assessing Sales Analytics Skills

Sales Analytics

Sales analytics is the process of collecting, analyzing, and interpreting sales data to gain insights into sales performance, customer behavior, and market trends. Sales analytics can be used to improve sales forecasting, identify new sales opportunities, and optimize sales processes.

Sales analytics is important for businesses of all sizes, but it is especially critical for large enterprises with complex sales organizations. By understanding their sales data, businesses can make better decisions about how to allocate resources, set targets, and improve their overall sales performance.

Here are some of the benefits of using sales analytics:

Improved sales forecasting: Sales analytics can help businesses to forecast their sales more accurately. This can help them to better plan their inventory, staffing, and marketing campaigns.
Identification of new sales opportunities: Sales analytics can help businesses to identify new sales opportunities by identifying trends in customer behavior and market trends.
Optimization of sales processes: Sales analytics can help businesses to optimize their sales processes by identifying areas for improvement. For example, sales analytics can be used to identify sales reps who are performing poorly or to identify sales leads that are not being followed up on.

Sales analytics can be performed using a variety of tools and techniques. Some common sales analytics tools include:

Customer relationship management (CRM) systems: CRM systems store customer data such as contact information, sales history, and customer interactions. Sales analytics tools can be used to analyze CRM data to identify trends and patterns.
Business intelligence (BI) tools: BI tools provide users with a variety of tools for analyzing data, such as reports, dashboards, and visualizations. Sales analytics tools can be used to create custom reports and dashboards to track specific sales metrics and trends.
Machine learning and artificial intelligence (AI) tools: Machine learning and AI tools can be used to build predictive models that can forecast sales, identify sales opportunities, and optimize sales processes.

Sales analytics is a powerful tool that can help businesses to improve their sales performance. By collecting, analyzing, and interpreting their sales data, businesses can gain insights that can help them to make better decisions about how to allocate resources, set targets, and improve their overall sales performance.

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Sales development rep candidate for internet startup

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I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)

We get a high flow of applicants, which leads to potentially longer lead times, causing delays in the pipelines which can lead to missing out on good candidates. Alooba supports both speed and quality. The speed to return to candidates gives us a competitive advantage. Alooba provides a higher level of confidence in the people coming through the pipeline with less time spent interviewing unqualified candidates.

Scott Crowe, Canva (Lead Recruiter - Data)

How can you accurately assess somebody's technical skills, like the same way across the board, right? We had devised a Tableau-based assessment. So it wasn't like a past/fail. It was kind of like, hey, what do they send us? Did they understand the data or the values that they're showing accurate? Where we'd say, hey, here's the credentials to access the data set. And it just wasn't really a scalable way to assess technical - just administering it, all of it was manual, but the whole process sucked!

Cole Brickley, Avicado (Director Data Science & Business Intelligence)

I wouldn't dream of hiring somebody in a technical role without doing that technical assessment because the number of times where I've had candidates either on paper on the CV, say, I'm a SQL expert or in an interview, saying, I'm brilliant at Excel, I'm brilliant at this. And you actually put them in front of a computer, say, do this task. And some people really struggle. So you have to have that technical assessment.

Mike Yates, The British Psychological Society (Head of Data & Analytics)

I was at WooliesX (Woolworths) and we used Alooba and it was a highly positive experience. We had a large number of candidates. At WooliesX, previously we were quite dependent on the designed test from the team leads. That was quite a manual process. We realised it would take too much time from us. The time saving is great. Even spending 15 minutes per candidate with a manual test would be huge - hours per week, but with Alooba we just see the numbers immediately.

Shen Liu, Logickube (Principal at Logickube)