You as a potential customer may have ideas on your requirements, but not have the means to express it. No problem, we can go through a scoping exercise to understand your business, give advice and help you to define a way forwards for your business.
Please drop us an email, we can call or email you back.
You as a potential customer may have a very strong idea on what you require. New business, new business area, enhance an existing solution?
Please tell us about it here
We wrote this to try and give you a better understanding of how to articulate what you are looking for.
As part of rebranding Info Rhino, we looked to other service providers to see what they are saying about their offerings. Even as technology professionals, we found some websites littered with buzzwords and terminology which may alienate most customers. We can think of there being specific terminology or cultural phenomena.
We hope this helps you to find out more about Data solutions.
We always see maps on websites and phones. Geographical points of interest, distances, sizes of areas are to do with geospatial data.
A data warehouse (DWH) is a specialized store of large sections of a company's data to permit analysis and reporting. We don’t want to go into too much about what a DWH is, but more on why they are useful and why you should use Info Rhino to build your data warehouses.
DWHs contain data, and lots of it.
Think of this as categories of information. A person is a dimension, and they may have a gender, an age, or a credit rating.
Data that can be counted, summed, or multiplied is a measure.
This is where measures and dimensions come together to provide useful information. For example, a fact may contain quantity purchased, price paid, customer, date purchased, store of purchase, product name.
You may have read our section on databases. A data warehouse solves most of the problems report writers encounter when writing reports against operational databases. As the number of reports required increases, it puts the original database at risk of performing badly.
The biggest challenge with technology is when new approaches surface, claiming to be faster, better, easier than their predecessor. Big Data was seen as the successor to Business Intelligence and so an entire industry jumped onto the Big Data band wagon. Business Intelligence, is what data warehouses serve and so this made data warehouses appear out of fashion. We think that data warehouses are an essential tool to reporting data within organizations, but as with any other paradigm, care and attention to value gained is required.
If your organization has an EDW or a CDW, please have a big think about your data and reporting strategy? The chances are, it is consuming lots of data and not producing many meaningful reports at all. Too many times, we have seen huge internal battles between teams, where Team A wants to centralise bringing more to the data warehouse, and Team B where decentralising information into data marts is their perspective on adding more value to the business.
The correct approach to building effective reporting systems is to model data and to ensure the systems are adequate to contain and deliver data to data consumers. Unlike many zealots, we don't believe Agile to be an effective approach to delivering meaningful systems.
Data can exist in hundreds of different formats, languages, structures and systems. Small Enterprises will benefit from creating a data warehouse, but accepting that data can exist in different locations to a data warehouse is a responsible balanced strategy to getting more value.
Info Rhino develops systems that are more efficient, require less maintenance, and just make sense when it comes to data.