Data Warehousing

Data Warehousing

Why do I need to speak to Leopard about Data Warehousing?

Why?

How many organisations do you know that have mission critical Excel spreadsheets that are used to inform their business decisions? Do you have this approach in your business? So often we’ve seen critical decisions being made using information that comes from spreadsheets. Spreadsheets are great in so many ways, but equally they carry a huge risk. One of our longest-standing customers even submitted the wrong numbers to their shareholders because there was an error in the spreadsheet that they used for producing the financial results that they published. What you need is to implement Data Warehousing, which would dramatically reduce risk. If the laptop, containing your vital spreadsheet, was stolen without a backup; then the spreadsheet is gone, permanently. A Data Warehouse is cloud based, so there’s that extra security of redundancy. Here is 3 more reasons why your should speak to us about helping you with your Data Warehouse:

  • Security. Control which data is seen by whom and restrict access to confidential information.
  • Risk. Already mentioned, but so important. Reduce risk of corrupting spreadsheets and stolen laptops, and people forgetting to do backups.
  • Collaboration. Allow more people to see the selected relevant information in different formats appropriate to their requirements.

 

What?

A Data Warehouse is a database or set of databases that contain digital data that is processed into information. We have built a number of Data Warehouses that have multiple ways of viewing the information (e.g. Yellowfin, Tableau, Business Objects, Microsoft Reporting Services).

A Data Warehouse could include any of the following

  • Data Gathering. Methods for gathering the data that’s used to produce the information for decision making. This could be database to database feeds, manual inputs, inputs from or external providers. Ideally we automate as much as possible to minimise human error.
  • Data Processing. The process of turning the data into information that you can make decisions on. This is a really important part of the Data Warehouse and an area we have extensive experience in.  We pay special attention to Data Quality and provide methods for tracking the quality of the data and provide clear processes and ways of improving Data Quality. The same or similar data in different databases, almost certainly will be shown differently, so the data needs to be “cleansed” and treated consistently. Rules can be determined that minimises these issues going forward.
  • Data Visualisation. There are so many ways of viewing information. Whether it’s self-serve reporting (such as Business Objects or Yellowfin), dashboards (such as Tableau, Yellowfin or Xcelsius) or detailed reporting (such as an export in Excel). We follow industry best practices in how to visualise data and what platforms to use and we design Data Warehouses with this in mind. Always ensuring that the way of visualising the information is fit for purpose.

 

How?

We have delivered a number of highly successful Data Warehouses that are still being used today. We’ve also worked with a number of different database platforms. We have a tried and tested methodology for implementing a Data Warehouse. This includes our methods of project and change management to ensure that stakeholders are part of the process. The people-issues involved with major projects shouldn’t be underestimated, and for this reason although we are primarily a data company we have recruited experts in Change Management. We implement Data Warehouse solutions in phased approaches to ensure milestones are met, key people and teams are involved in the process and deliverables are made available on a timely basis.

If you’d like to find out more please call us on +44 (0) 203 126 4012 or Contact Us.