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The importance of data warehouse tools

Data warehouse tools come in many shapes and sizes as to fit every organisation’s specific needs. When it comes to customisation, options are close to endless.

One could say it’s a global trend. Many BI and analysis vendors offer decision-focused BI technology, coupled with business consulting. We are talking about fully automated solutions that shorten the painfully long ELT processes to days and weeks.

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Analytics Strategy

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Analytics Architecture

The benefits of data warehouse tools

 

The benefits of data warehouse tools are numerous. First of all, there is a huge difference between ready-to-use and decision-focused solutions. The first address only the most common issues, whereas the second can be tailored to support the business decisions that you need to make.

 

Minerra offers only customised BI analytics and data warehouse (DWH) tools. We know that one size doesn’t fit all; it never has, and it never will. Each organisation has its specific business goals, plans and objectives. With the market changing at a rapid pace, your information requirements will change and you need a solution that will adapt.

 

We take all those variables into account when presenting our data warehouse automation tools. But, first of all, we provide business consulting, that we believe to be the crucial step to a long-term success. After all, Minerra was founded by business people with a unique combination of business experience and a passion for technology.

 

 

Data warehouse tutorial

 

Every data warehouse tutorial run by an organisational at the cutting edge of their field should cover data warehouse automation in detail. Data warehouse automation is the key to allowing your data warehouse to keep up with your changing business environment.

Types of data warehouse tools

 

Analytics applications, can be very broad in definition, and include Excel spreadsheets, data mining tools, OLAP and dashboards (also referred to as performance dashboards), etc.

 

 

  • Excel spreadsheets are often used to extract data from operational systems. Albeit heavily relied upon in business, they have a huge flaw. Namely, they call for manual data export, manipulation, integration, and preparation, which is a very resource-intensive and time-consuming process.

 

  • Data science, advanced analytics and data mining tools use the data stored in various locations (such as a data warehouse) to correlate information on multiple levels. They define emerging trends and discover all kinds of issues and opportunities. Organisations use data mining tools to help identify the patterns of the ever-changing market. E.g., these tools can show that customers who buy wine often purchase dark chocolate. By putting dark chocolate next to wine, the sale is certain to skyrocket.

 

  • Performance dashboards are advanced data warehouse tools. They display data in a summarised form, often in graphical format.

 

Dashboards measure KPIs (key performance indicators) such as marketing, production, growth, customers, financial, etc. They are commonly used by senior decision makers who need to understand business performance metrics at a glance.

Data Integration

Business analytics tools

 

There are numerous business analytics tools, roughly divided into two categories: business intelligence and data science / statistical analysis.

 

Business intelligence tools inspect historical data and provide an insight into business operations over a selected period of time. As such, they deal with past performance. Statistical analysis / data science applies statistical algorithms to historical data in an attempt to predict the future performance of any given aspect of the business.

 

Business analytics incorporates a palette of approaches as to inspect, compare and predict future trends and performance. Descriptive analytics deals with present performance. Prescriptive analytics inspects past performance in an attempt to provide recommendations for similar situations in the future. And these are only some of the examples.

 

Nowadays, business analytics tools are increasingly being automated. To keep track of the hectic demand, manual methods are insufficient, way too slow in coming and tremendously expensive. Manual coding used in the ELT process is lengthy and incapable of handling rapid updates.

 

But, that isn’t to say that the ELT is a bad method. On the contrary! By automating the entire process, changes to data warehouses can be deployed rapidly (in hours and days as compared to weeks and months, in case of manual ELT).

Minerra data warehouse tools

 

Minerra data warehouse tools are fully automated and made to order. No matter your requirements, we are confident of being able to offer just the solution you need. We also provide business consulting and training. We make certain that our clients know how to get the best out of their DWH tools at all times.

Contact Minerra for product demonstration and consulting!

Analytics as a Service

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