Predictive Sales Analytics Software | Qymatix Predictive Sales New Release
October 28, 2018Sales Analytics,Distribution,Predictive Analytics,DigitizationArtificial Intelligence,b2b sales
With the valuable input from partners and customers, Qymatix has released an improved version of its predictive sales analytics product.
The new version of the SaaS brings together extensive research in the field of predictive sales analytics and front-end usability. Sales leaders in Business-to-Business will benefit with an easy-to-use and easy to understand self-service predictive sales analytics software. Users do not need their IT department to perform advanced sales analytics and will no longer suffer “spreadsheet misery” during sales reporting.
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Sales Territory Design
October 5, 2018Artificial Intelligence,Pricing Analytics,Sales Tips
It is a common practice for sales teams in B2B to be organised around geographical regions. Furthermore, successful Key Account Managers spend significant time on the road, visiting key customers, new leads and closing deals.
Key Account Managers are probably one of the most expensive resources your company has. Great sales leaders help their salespeople plan the road trips based on predictive sales analytics.
To perform this job, you will be looking to answer all or some of the following questions:
Qymatix has an application programming interface (API)
Since this summer, Qymatix is offering an application programming interface (API). This is a library of queries that allows users to connect with Qymatix Sales Analytics tool.
The Qymatix REST API enables advanced users and developers to access Qymatix functions without having to login into the Qymatix web app. Using the API, users can get customers data and results of sales data analysis and indicators from its advanced sales analytics.
Qymatix reporting API provides access to the tabular data in Qymatix Sales Analytics standard reports. To access data and results, you need to create a query that specifies the profile (through a token) and the query you want to run.
To get started with Qymatix API, you first need to be registered in Qymatix. Once registered and logged in, you can access the API from here.
Now users and developers can connect sales data from other enterprise resources planning systems (ERP).
Do you have any further questions on predictive ERP? We are happy to help!
Qymatix is now a proud member of the SAP® PartnerEdge® Program.
July 25, 2018Examples,BIBig Data,Artificial Intelligence,Lead Scoring
Qymatix is helping business get ahead with predictive sales analytics in their SAP world.
Karlsruhe, 19.07.2018. Qymatix Solutions GmbH is since 2013 helping B2B companies to grow faster using predictive sales analytics.
To reduce customer churn, discover cross- and up-selling opportunities, and enforce pricing policy, sales executives need today access to advanced predictive analytics models.
How a Poor Lead Scoring Methodology is Hurting your Business.
July 12, 2018Data Mining,Performance Management,Sales Management,Sales Planning and Operations,Predictive SellingRetail,Artificial Intelligence,Machine Learning
Classic Pipeline Management & Lead Scoring vs Predictive Analytics
Sales in Business-to-Business is dramatically changing. Personal contacts and relationships are no longer a guarantee for more business. Pure push strategies are losing its shine. Marketing is critical than ever.
The balance of power between buyers and sales representatives has gone all the way back. Buyers are now masters of product search and vendor selection. Competition? Ubiquitous.
Qymatix Predictive Sales Analytics is now publicly available in the Microsoft Azure Marketplace and Microsoft AppSource
July 6, 2018Examples,BIBig Data,Artificial Intelligence,Lead Scoring
How can you implement predictive sales analytics in your Microsoft Dynamics CRM and ERP-Software?
Karlsruhe, 06.07.2018. Qymatix Solutions GmbH is since 2013 helping B2B companies to become more efficient using predictive sales analytics.
To implement cross- and up-selling strategies, reduce customer churn and enforce pricing policy, sales leaders need today access to sophisticated predictive analytics models.
Salesforce brake: CRM
CRM or Customer Relationship Management refers to a company philosophy that is primarily pointed towards the customer. Almost all companies use special software solutions, but the fewest systems truly fulfil their function. Why this is the case, explains Ingo Sievert, Managing Director of SP Integration GmbH in conversation with Helmut König.
Helmut König: Mr Sievert, what is important for a CRM system to satisfy its original function?
Your sales role defines your sales analytics needs
June 14, 2018Artificial Intelligence,Sales Reporting,Sales Controlling,Sales Acceleration
Tell us what your business function is and we tell you what kind of business intelligence you need.
Sales Manager, Key Account Manager and Sales Controller are different positions in B2B sales. All three roles aim to advance sales and make it more efficient. Nevertheless, the requirements for a sales analysis are rather different.
"The digital transformation in sales is a curse and a blessing at the same time."
June 6, 2018Artificial Intelligence,Market Basket Analysis,Sales Tips
How to find Salespeople? Look for newcomers to sales! Qymatix Expert Interview.
Jana Mallah - Recruitment Specialist - Thema Group - Partner in Life Science Recruitment
Dear Ms., Mallah, please introduce yourself to our readers.
My name is Jana Mallah. I'm in my early thirties. I studied biochemistry, and after completing my master, I decided to do my PhD at the Max-Plank-Institute in Dortmund.
Top 5 Predictive Analytics Books To Move The Needle in B2B Sales
May 25, 2018Data Mining,Predictive AnalyticsPredictive Analytics,Predictive Sales Analytics
Predictive Sales Analytics is a game-changing technology in B2B sales. Any organisation trying to rein in erratic sales funnel, to improve the performance of their sales force or to avoid customers from churning, should have a clear understanding of predictive analytics.
Sales leaders need to grasp the applications, the benefits and the limitations of predictive analytics. They should be able to define the scope of a predictive analytics project and to calculate its return on investment (ROI). Sales executives do not need to become data scientists; they need to understand the possibilities and limitations of the data science methodology for predictive analytics.