What is process analytics?

What is process analytics?

Continuously improving process performance starts with understanding current gaps and non-conformance to standards. Interactive dashboards and transaction-level reporting put a spotlight on areas for improvement.

Flexibility to sort by operating/business unit, system, accounting period or calendar cycle to easily identify trends and target corrective actions. 

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Ways process analytics can help your business

Comprehensive View

Provides a deeper understanding of opportunities in areas of operational improvement in a single view across multiple ERP systems, including P-Card and third-party payment systems.

Advanced Analytics

Operational reports identify breakdowns in business processes, inefficiencies, and risk.

Flexible and Easy to Use

User-friendly interface with minimal training required to use. Highly configurable to ensure it works with your environment.


Visualise process gaps, drivers of business performance, and inefficiencies at a quick glance.

A single view of the health of your processes, combining all ERP and accounting systems.

Business Process Insights

Ability to act on the strategic level insights whilst enabling AP teams to drill down to details necessary to implement corrective actions.

Performance Assessment

At a glance view of out of compliance performance metrics with transaction level specifics required to remedy anomalies.

Supplier Relationships

Strengthen supplier relations through proactive identification and management of invoice lifecycle bottlenecks.


Positively impact cash by alleviating delinquent payment fees, identifying payment term differences, and analysing optimal payment methods while achieving on-time payment goals.

Process analytics identifies breakdown in business processes, inefficiency, and highest priority processes to apply automation for the greatest ROI.

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Leading AP teams choose Glantus technology

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Request a live demo

Demonstration of Glantus’ solutions in action with a product expert. A typical introduction demo includes:

  • Assessment of your unique needs and requests.

  • Case examples from your industry or similar use cases.

  • Demonstration of Glantus’ relevant software and solutions.

Frequently Asked Questions

Yes, and we will guide you through the data acquisition process.

We have pre-written scripts for most major ERPs, which we provide to your IT team, along with all instructions. Data is uploaded via secure file transfer protocol (SFTP).

We are ISO27001 / ISO27701 / ISO9001 certified and audited annually.

Glantus utilises the Microsoft Azure cloud environment as well as TierPoint Data centers to fulfill the needs of the business. In the EU, the Azure cloud platform facilitates hosting within the North Europe Region. In the US, hosting is facilitated by TierPoint within the Marlborough/Boston region.

There are two options. Either from your card provider which is level three type data (Visa VCF/Mastercard MDF). Or from your internal card program manager, who can generally download a data file online which is level one type data.

We prefer for data extraction to be fully automated. This can be done daily, weekly or monthly, with daily being the most preferred option.

We will provide a small subset of potential duplicates you can investigate and recover. You’ll have two weeks to enjoy your complimentary subscription to DataShark for your team to review and recover the potential duplicates provided and access all other reports and metrics.

You will be assigned a Director of Client Success who will provide all user training at go-live. There will be regular follow-up training sessions provided for all new users.

Your ERP system will typically have a hard stop built in, but it only works if both transactions are exactly the same, everything has to match for the system to recognise it as a duplicated entry, and in some cases, it allows a user to override that stop to enter the transaction.

DataShark goes above and beyond that by identifying errors occurring from data entry errors, duplicated or multiple related vendors, wrong vendor payments, different currencies, transposed dates or invoice numbers, appended invoice numbers, and many, many more error types.

Most companies use some process to catch duplicate payments, whether by importing transactions in excel and applying filters to try and weed out the duplicates or by using other tools where they create their own queries and algorithms to flag these transactions.

The problem is that these only get to a fraction of your overpayment errors due to the limited algorithms being applied to the data set. This also creates a lot of "false positive" transactions being flagged.

DataShark’s 800+ algorithms identify a lot more potential errors while minimising the majority of the false positive duplicates, usually achieving over 50% true duplicate identification.