Data Warehousing

Data Warehousing From Dolphin Networks

Here at Dolphin Networks, we been offering out data warehousing services to our clients throughout the UK for many years. We offer efficient and professional data warehousing services and we have a team of experts who are always on hand to assist. Our data warehouse experts have all the skills and knowledge to assist with all of your data warehousing requirements. Get in touch with Dolphin Networks today and we’ll be happy to discuss your requirements and data project with you. Any good foundation for a business intelligence project starts with a well thought out data warehouse design.

The Purpose Of Data Warehousing

The purpose of an Enterprise Data Warehouse (EDW) should be to provide an all-encompassing view of your organisation from whatever view point you are interested in. The warehouse itself can be a logical design which includes multiple data marts servicing different areas of the business. It could also be a simple, small schema that simply serves as a master data repository for your organisations hierarchical data sets.

The most important part of any data warehouse project is to plan, discuss, design and test until you have a fit for purpose solution. The mistake made by many data warehousing projects is that it will grow out of an operational data store into a read only repository that just services a bunch of reports. That falls very short of a solution that anyone in the organisation can hook into to enhance and aid their day to day work activities.

A well designed data warehouse tells a story about your company. How are you doing? Are you expanding or retracting? What are your primary income streams? Where is your effort being wasted? The list is endless, but that story will help you make better informed decisions in your business giving you a large return on investment from your data warehousing project.

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What is a Data Warehouse?

A data warehouse is a central repository of information that can be analysed to make better informed decisions. Data flows into a data warehouse from transactional systems, relational databases, and other sources, typically on a regular cadence. Business analysts, data scientists, and decision makers access the data through business intelligence tools, SQL clients, and other analytics applications.

Data and analytics have become indispensable to businesses to stay competitive. Businesses use reports, dashboards, and analytics tools to extract insights from their data, monitor business performance, and support decision making. These reports, dashboards and analytics tools are powered by data warehouses, which store data efficiently to minimize I/O and deliver query results at blazing speeds to hundreds and thousands of users concurrently.

Database Vs. Data Warehouse

A database is designed to make transactional systems run efficiently. This type of database is an online transaction processing database. An electronic health record system is a great example of an application which runs on an online transaction processing database, this database is typically constrained to a single application.

It is important to note that a transactional database doesn’t lend itself to analytics. To effectively perform analytics, you need a data warehouse. Data warehouse is an online analytical processing database, a data warehouse exists as a layer on top of another database or databases. The data warehouse takes the data from all these databases and creates a layer optimised for and dedicated to analytics.

In short a database designed to handle transactions isn’t designed to handle analytics. It isn’t structured to do analytics well. A data warehouse, on the other hand, is structured to make analytics fast and easy.

Both are useful, but dependant on your organisation’s needs. If your company processes digital transactions or collects data you will need a database.

Data Warehouse Architecture

Generally a data warehouse adopts a three-tier architecture which follow a structure known as data warehouse architecture:

  • Bottom Tier – The bottom tier of the architecture is the data warehouse database server. It is the relational database system. We user the back-end tools and utilities to feed data into the bottom tier. These back end tools and utilities perform the Extract, Clean, Load, and refresh functions.
  • Middle Tier – In the middle tier, we have the Online Analytical Processing Server that can be implemented in either of the following ways. By Relational Online Analytical Processing, which is an extended relational database management system. The Relational Online Analytical Processing, which is an extended relational operations. By Multidimensional Online Analytical Processing model, which directly implements the multidimensional data and operations.
  • Top Tier – This tier is the front end client layer. This layer holds the query tools and reporting tools, analysis tools and data mining tools.

Governance

Are you doing everything right? What exactly is right? What isn’t? These questions are usually defined internally, unless you are adhering to an external standard or governing board such as an ISO. Whatever your reasons, a good simple and solid governance policy coupled with a data warehousing steering committee will ensure that your data warehouse stays on track and services the whole business… not just localised departments. With many years of experience in managing large scale data warehousing projects, along with the guidelines of an enterprise architecture standard, (TOGAF – The Open Group Architectural Framework), Dolphin Networks can help you create a successful data warehousing project, or build upon an existing one.

Data volumes are increasing at an alarming rate, so how do we keep up? How do we organise all that data? Do we even need it? How do we unlock any value from it? The answer can be as simple as organising it into a structured data warehouse, where you can make sense of it all, create useful reports that are meaningful, and apply governance to keep things in line.

Data Warehousing

A Data Warehouse Delivers Enhanced Business Intelligence

By providing data from various sources, managers and executives will no longer need to make business decisions based on limited data or their gut. In addition, data warehouses and related Business Intelligence can be applied directly to business processes including marketing segmentation, inventory management, financial management, and sales.

Enhancing Data Quality and Consistency

A data warehouse implementation includes the conversion of data from numerous source systems into a common format. Since each data from the various departments is standardised, each department will produce results that are in line with all the other departments. So, you can have more confidence in the accuracy of your data. And accurate data is the basis for strong business decisions.

Data Warehouse Saves Time

Since business users can quickly access critical data from a number of sources—all in one place—they can rapidly make informed decisions on key initiatives. They won’t waste precious time retrieving data from multiple sources. Not only that but the business execs can query the data themselves with little or no support from IT—saving more time and more money. That means the business users won’t have to wait until IT gets around to generating the reports, and those hardworking folks in IT can do what they do best—keep the business running.

Why Choose Us For Data Warehousing?

We have been offering our data warehousing services to customers throughout the UK for many years. A well designed data warehouse project can help your business to plan, discuss, design and test the best solution for your business. Some of the reasons we think you should choose us for data warehousing are:

  • Team of experts
  • Years of experience in data warehousing
  • Well-known for the data warehousing services we offer
  • We can help you understand data governance
  • Always go the extra mile for our clients

Contact Dolphin Networks To Discuss Data Warehousing

If you’re interested in data warehousing and are wanting to discuss it before proceeding any further then be sure to get in touch with Dolphin Networks. We have an experienced team of professional who have all of the skills and knowledge needed to discuss data warehousing with you. No matter what your data warehousing requirements might be, you can count on Dolphin Networks. Our team are always on hand to answer any questions and deal with any enquiries that you might have.

Frequently Asked Questions About Data Warehousing

Data warehousing is a term that was first coined by William H. Inmon, who is know as the father of data warehousing. Data warehousing is a subject oriented, integrated and time variant collection of data that supports the decision-making process. Using data warehousing allows you to evaluate the performance of a particular enterprise at any given time.

A data warehouse is a system that is used by many businesses for data analysis and reporting. The main purpose of using a data warehouse is to integrate and bring together data into one central location. Using data warehousing cuts down the time required to find and analyse important data.

Data warehousing has a number of benefits for businesses. At Dolphin Networks we’ve put together some of the main advantages of data warehousing which are enhance business intelligence, increased system performance, access to data, enhanced data quality, historical intelligence and high return on investment.

We have been offering our data warehousing services to our clients throughout the UK for many years. With years of industry experience, we have become well-known for the data services we provide. No matter what your data warehouse requirements might be, you can count on Dolphin Networks.

If you’re interested in discussing data warehousing with Dolphin Networks, then all you need to do is contact us by phone or email; or feel free to fill in our enquiry form. Our team of data warehouse experts are always on hand to answer questions and deal with any enquiries about our data warehousing service.

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