Integrations that enable better customer experiences!

By collecting customer data from various systems, you facilitate better customer experiences, improved workflows, and deeper insights. Talk to us about good data flow
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Markedspartner helps you collect data, so you can create great customer experiences

Whether you're aiming to create exceptional customer experiences through automation and generative AI, or you have sales and customer service teams that need a 360-degree view of the customers they are assisting, systems must be integrated, and data must be made accessible within the workspaces your employees use.

Markedspartner has its own integration team that finds the best way to gather your data so that it can be used to provide your employees with efficient workspaces and offer your customers exceptional experiences, both digitally and physically.

We understand the business value of interconnected systems and scalable integration platforms that can be maintained efficiently

Better customer experiences

Integrations are essential for creating seamless and personalized customer experiences across both physical and digital channels. By connecting data from various sources, you can gain a comprehensive view of your customers' preferences and needs. Integrations facilitate the use of generative AI, which can analyze customer data in real-time and deliver unique, personalized experiences.

Better workspaces and processes

Everyone working in customer-facing roles gets access to all the necessary customer information within their own workspaces. Whether it's customer service, sales, or marketing, everyone can manage the entire business relationship without having to switch between multiple systems

Better insight

By gathering data, you gain access to insights that provide a better foundation for decision-making for both leaders and employees. Comprehensive analysis across the entire customer relationship is crucial for extracting the necessary insights to make well-informed decisions

Better data

Clean, well-structured, and easily accessible data is essential whether it is used for automation, generative AI models, or insight solutions. By ensuring high data quality and relevance, you can better understand customer behavior, anticipate their needs, and thus offer more targeted and effective solutions

Some of the systems we have built integrations for:

  • Visma.net (Customer data, invoicing): Companies, Deals, Line Items, Custom objects
  • Seaware (Travel booking): Contacts, Companies, Deals, Line Items
  • Braintree (Credit card processing): Deals
  • VITE (Electricity orders): Contacts, Deals
  • Finn.no (Purchase inquiries): Contacts, Deals, Timeline Events
  • OpenAI (Data validation): Contacts
  • Oculus (Bonus and customer data)
  • Patricia (Customer and company data)
  • Multicase (Customer and order data)
  • Enin (Corporate data)
  • Hårfagre (Membership, client, contract, and housing unit data)
  • Landax (Customer and supplier data)
  • Fortnox (Customer data, products, invoices, quotes)
  • UniMicro (Customer, product, order, and invoice data)
  • Shopify (Order, product, customer)
  • Dealbuilder (Contracts)
  • J4 (Customer data)
  • FrontCore (Course and customer data)
  • Eir (Insurance data)
  • Zendesk (Tickets)
  • Increase (Customer data)
  • Brreg (Corporate data)
  • SAP (Customer and order data)
  • Salesforce (Customer and sales data)
  • ConnectWise (Customer data, tickets)
  • Oneflow (Contract data beyond the standard integration)
  • PowerOffice (Customer and accounting data)
  • Enin (Corporate data)
  • Hårfagre (Membership and client data)
  • SharePoint (File storage and sharing)

Here’s how we visualize your data to ensure a solid foundation for decision-making:

Compiled data from all customer interactions is crucial as a foundation for decision-making for both leaders and employees. We set up the reports you need in CRM, PowerBI, or similar BI solutions.

  1. Standardize: First, the data must be standardized to ensure consistency and suitability for analysis. This can include cleaning the data, handling missing data, and converting data types.

  2. Transform: Next, the data needs to be transformed. This involves structuring and aggregating the data to make it easier to analyze and interpret. The transformation process may include operations such as sorting, grouping, and calculating sums or averages.

  3. Visualize: Finally, the data is visualized. This allows users to identify patterns, trends, and insights through graphical representations such as charts, graphs, and dashboards.

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Here’s how we create success together

Markedspartner has extensive experience in building robust data platforms for large international companies, integrating customer data from almost any system.

Our dedicated integration team uses the best technology to ensure scalability, making it easy to connect and disconnect systems as needed.

Mapping

irst, existing systems, data flow, and needs are mapped. This includes identifying all data sources and how this data is or can be utilized.

Planning

Based on the mapping, a detailed plan for implementing the integration platform is developed. The planning includes architecture, technology selection, and how integration with existing systems will take place.

Execution

In the execution phase, the integration platform is set up according to the detailed plan. We ensure that all systems are connected efficiently, data flows seamlessly between the systems, and users have access to the necessary workspaces,

Optimization

After the system is implemented, a phase of testing, monitoring, and fine-tuning follows to ensure that the system operates optimally and meets business requirements

Get in touch for a conversation about integrations and data platforms