No matter where you are in your data and analytics journey, we will help you get the most out of your investment.

Most organisations have many sources of information. It is a challenge to bring these sources together and use it to drive insights into your customers, your products and your business.

Many organisations still spend an inordinate amount of time re-keying information into another system. Not only is this an incredible waste of time, it is error prone and not scalable as your business grows. That’s why it is important to have good data integration across your systems and the analytics to transform this data into valuable and actionable insights.

Cygnis provides industry insights, systems integration and technical delivery experience. We work with clients to define and enable their data and analytics journey.

No matter where you are in your data and analytics journey, we will help you get the most out of your data and analytics investment and ensure your team have the necessary skills to manage your data solutions and refine it as your needs evolve.

Data and analytics integrations is easier and more affordable than it has ever been before. At Cygnis we take a pragmatic approach to integrating data across your systems and ensuring you have visibility and analytical insights across your organisation.

All organisations are unique and so are data and analytics projects, however there are common steps we take to ensure any data and analytics integration is efficient and impactful.

  1. Determine what insights or reports drive decisions for your organisation – At Cygnis we believe data is a means to an end. Data provides information, which in turn drives insights which lead to decisions and actions that improve your business. List the big decisions your organisation make regularly or what reports you use to make decisions. Think about what data is used to generate those decisions and reports.
  2. Determine what data is important to your business – Most organisations have more data than they know what to do with. It’s not all relevant or insightful, so before the setup of an integration it’s important to list what data is the most important and useful for your business. Starting from the decisions and reporting is a great way to focus in on what’s really important
  3. List which system data sits in and where you want it to go – Most business data has a natural “home” or system that it resides in e.g. customer data in a CRM, finance data in a general ledger or ERP. List which system important data sits in and what you want to share across them e.g. you might want customer profitability in CRM, which requires sharing financial information with the CRM and vice versa.
  4. Choose the right data and analytics solutions – There are thousands of data and analytics solutions in the market place. By determining what data is important and what systems you want to share information you’ll be able to narrow this list down and select the right data and analytics solutions for your organisation
  5. Map the data across the systems so they can talk to each other – Each system typically has its own way of labelling data. A customer name field in a CRM may be very different to a similar field in a workflow tool or a financial system. These similar fields need to be mapped (or associated) so they can talk to each other. Think of it as a translating between different languages.
  6. Set up your core integrations and analytics first – You’ve done the hard work, so now set up the integrations in the data solutions. We recommend starting small to ensure integrations and sharing of information is working successfully on a small scale. This might be as simple as sharing basic customer names with a financial system or product administration system. At the same time start to build out the core reports you want to see first e.g. revenue by product or customer type.
  7. Refine your integrations and continue to build it out – With the core data integrations and analytics in place, you’ll build confidence in the solutions and process and have a better understanding of what to build out next.
  8. Share insights with the organisation and celebrate success – The whole point of investing in data integrations and analytics is to gain better insights into your organisation so that this drives better business decisions and enables staff to do their jobs better. Share the insights widely and regularly and celebrate the success and value this new capability brings to your organisation.

In parallel to these data and analytics integration steps we believe it is critical to define who will be responsible for data and analytics, who will use it and how it will be governed. Having the technology in place is important, but without staff and users understanding what to do with it and adopting the solutions it will not provide the value you expect.

As experts in data and analytics systems integration, we can untangle your disparate data sources and systems and get them working together as a whole, streamlining your processes, making it easier to do business and saving you time and money.

Speak to Cygnis today to discuss how we can integrate your data and analytics solutions today.

Our data and analytics integration services
  • Define data and analytics strategy
  • Design, setup and integration of leading data and analytics solutions
  • Data migration
  • Master data management
  • Data quality management
  • Reporting and analytics development
  • Staff training and user adoption of data and analytics solutions
  • Project management of data and analytics implementations
  • Review of the effectiveness of your data and analytics solutions
  • Ongoing support and enhancements of your data and analytics solutions
  • Vendor selection and procurement management
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