Data warehousing enables you to collect your organisation's data from various sources and bring it into a single database.  By collating information from separate systems, and transforming into consistent formats, organisations are able to start making well informed decisions to enable high quality of service and growth.

Consider the following example for an organisation in the Aged Care industry:

In this example, the organisation has:

  • Technology One for Finance, HR and Payroll

  • Salesforce for Sales CRM and marketing

  • AlayaCare and CareLink for their client case management and employee scheduling

However, the organisation is having difficulty understanding:

  • Unit cost of services delivered

  • Trends in billing and payroll

  • Revenue from services delivered and fundraising

  • Staff certification and training compliance

With Datamagic's support, the organisation is able to quickly bring data from each system into a central data warehouse in order to:

  • Quickly and easily understand the utilisation of each employee, helping to shape recruitment practices and growth strategies,

  • Monitor payroll activity to quickly identify potential discrepancies and indicate requirement for further investigation

  • Track billing activity to ensure reduced errors and stabilise income

  • Stay audit ready by easily monitoring staff compliance to work, taking action as required to ensure the safety of clients

In addition, by bringing data from disparate sources into one platform, the organisation is able to understand:

  • Effectiveness of marketing campaigns in bringing new clients to the organisation generating qualified leads

  • Effectiveness of the Customer Support Team in ensuring that these leads are followed up with and how good those marketing leads are in terms of generating revenue.

This supports the organisation to plan for the future, using accurate and timely data to plan for future growth and reviewing practices in order to ensure they are using effective marketing and onboarding practices to build a strong client base.

data warehouse example

Why Work With us?

Take a look at examples of our work and learn how our clients from different industries have benefited from our data science consulting services.

360 degree customer view

Whether you're a bank that wants to bring pertinant information about customers to the surface, or drive automated customer journeys, connecting your systems is an enabler that will help you achieve your goals. Datamatic leverages our expertise to help to solve these challenges.

Streamline your Employee Onboarding

If you're in an industry with high turnover of staff and compliance - mining or hospitality, for example - the number of systems that a new employee needs to be enrolled into can be daunting. Datamagic has helped organisations automate this process with online workflow, approvals and system integration.

Bring your Data into a Single Location

In most organisations, multiple systems are a fact of life and most of the time, management needs to report on data across multiple systems in order to support decision making. Datamagic supports this by bringing data into a central location (a data warehouse), which then enables cross system reporting.

Business Analytics

Business Analytics or BI (business intelligence) has been around forever. However, the availability of affordable, highly capable BI tools that are accessible for most small to medium businesses has really transformed the industry in the past few years. Talk to Datamagic about how you can take advantage of this.

See the future with predictive analytics

Wouldn't it be great to be able to predict the future? Running a business involves so many variables at any given time, it can be difficult to sort the important data from the minutiae. Machine learning can help to provide predictive analytics with a long list of input variables and can help to provide clear answers in the chaos.

Improve your data quality

One of the big challenges that we see many businesses face is bad data across a range of areas within the business. This could be duplicate customer data, innaccurate inventory or parts data, or any number of other areas. Master data management applies business rules to this data that helps to improve the quality of that data.

  • Time Saving
  • Cost Effective
  • Eliminate errors

16+

Years of applied experience in data science, connecting systems and software development.

150+

Implemented projects worldwide with key clients from: USA, UK, Europe, Singapore.

10+

Qualified employees with master's degrees in: System Analytics, Computer Science.

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