Enterprise Data Warehousing and The Future of Business Software Systems

Enterprise data warehousing, a technology that powers organizational databases that are used mainly for reporting and analysis purposes, is not among those technologies that fuel media gossip but its importance for the future development of business software applications is nonetheless considered essential by all and every industry expert. Organizations, both government agencies and private enterprises need business software tools to analyze data and take insightful strategic decisions, while business intelligence tools largely rely on data warehouses to provide the necessary data integration and data access layers that make it possible for raw data to be transformed into readable reports in the application's interface.

To put it simply, data warehousing is an important element of all and every business software application in a global business environment where information is collected from numerous sources in real-time and where vast amounts of data must be stored, processed, and analyzed before taking an informed managerial decision. The technical details concerning this method and technology to store information in a reliable way and retrieve data for further reporting and analysis are not that important, but the main point is that data warehousing is now considered a must-have technology when the matter in question is to design and implement a reliable business application like an enterprise resource planning (ERP) system and other kinds of enterprise-level software tools.

Usually, a large organization would deploy different source systems while enterprise data warehouses allow for integration of data from multiple sources, thus enabling managerial staff to get access to all data involved in strategic decision making. A great part of the functionality of business software systems like ERPs and customer relationship management (CRM) applications involves dealing with databases on top of which complex reports are produced. Therefore, all those systems incorporate data warehousing functionality to store, catalog, and retrieve data and meta-data.

All those business intelligence tools, like any other similar tool in the past, are essential in running a successful business, business analysts agree. Systems that feature enterprise data warehousing functionality are still evolving, adding collaboration and industry-specific capabilities, while analytical software applications are now provided both as standalone solutions and software-as-a-service tools. Nevertheless, the core functionality of those systems is all the same and enterprise data warehousing is the technology that allows those business intelligence tools to operate as intended.

Analytical processing and market research are so important in a global business framework that business intelligence is more decisive than ever before. In a fast-changing online environment it is not only about storing data in a reliable fashion but to process those data fast and produce trustworthy reports and analysis. Modern organizations simply cannot afford to save on data warehousing technologies and tools for enterprise data warehousing as a technology and a method provides one of those competitive advantages that would be decisive for the overall success of an organization in the years to come.

Positive Effects of Data Warehousing in Business Intelligence of Enterprises

Contemporary software systems aimed at helping managers in the decision-making process usually incorporate Data warehousing in business intelligence applications developed to identify, extract and analyze business data. High-quality and valuable data can be analyzed in a manner that helps enterprises gain competitive advantage over their rivals, enjoying all benefits predictive analysis can provide. Actually, business intelligence systems rely on historical data in large volumes, thus providing neutral view on information collected, while utilizing such data to forecast trends and estimate future market movements, for example.

A major property of business intelligence is its ability to equip corporate executives with valuable tools that facilitate and enrich decision making through analysis of large volumes of data that is otherwise non-analyzable. Data warehousing plays an important role in this process, providing the basis and means for retrieving such data and loading it into a repository, where the information can be cataloged and analyzed. Professionals and scholars are well aware that the ability to analyze huge volumes of data can produce amazing results in terms of future trends predictability and customer behavior forecasting. Data warehousing and business intelligence, in a broader context, provide the essential principles on which modern-day systems facilitating decision-making are made.

Using data warehousing and business intelligence tools, managers and business owners can track how projects and business programs are progressing and compare their progress against a previously adopted broader corporate strategy. Predictive analytics and predictive modeling have proved to be invaluable instruments when the matter in question is to design a working sales strategy or a targeted marketing campaign, for example. Business process modeling is another technique used in business intelligence, which also relies on data warehousing to collect enough historical data on which models are based.

Collaboration was the word of the day in the past decade, with a growing number of software vendors offering business intelligence systems that feature collaboration capabilities through data sharing tools and other instruments designed to provide collaborative virtual workspace. Even the rapidly gaining popularity of social networking platforms rely on data warehousing technologies; and a number of software vendors and developers offer business intelligence platforms that run entirely online, software-as-a-service, or SaaS, where business users can benefit from social networking functionality, in addition to traditional functionality characterizing such systems.

Usually, business intelligence systems are highly configurable reflecting the need to deal with different data and regulations across various industries. Data protection is another well-developed feature of most business intelligence systems due to the sensitive nature of business data gathered and managed through data warehousing techniques and systems. Access of third parties to such data can give them marked competitive advantages; thus, software developers pay special attention to data protection and security in the field of business intelligence systems.

Data warehousing is well known for adding value to other systems as well, most notably to customer relationship management (CRM) systems. Another valuable benefit is the ability of such systems to integrate data from multiple sources and across different systems into a single database, allowing data warehousing and business intelligence techniques to be used to give a broader perspective on what is really going on within an enterprise.

Professional Services Can Secure Successful Implementation of Business Software Solutions

Modern-day enterprises are forced to implement new software solutions and update their applications on a regular basis, which often requires assistance and advice by providers of professional services specializing in professional services consulting. Implementation of new software and modernization of existing software infrastructure requires professional approach involving careful assessment of business processes and procedures applied within an organization. Moreover, an implementation plan should be worked out which should be prepared with long-term business strategy in mind; otherwise, serious post-implementation issues could occur.

Professional consultants can provide valuable assistance when the matter in hand is to design a strategy for deployment of new software or tweaking of existing software solutions to meet new business realities. A third party consultant can offer solutions that are fine-tuned within the specific context of a company business, and provide support for staff training and implementation of best industry practices. Some customer relationship management (CRM) systems and enterprise resource planning (ERP) platforms feature built-in best practices functionality, however, these systems often require further configuration or customization to be conducted. Thus, an external consultancy company can offer both non-standard approach to issues and demands of business customers, while incorporating best practices within an existing or newly implemented system.
Sometimes, business software requires redesign that can result in implementation delays and poor post-implementation usability, therefore careful planning and evaluation of company requirements and needs should be conducted prior to deploy any business software. For example, integration of new software into existing business systems can secure visible benefits like reduction of overall costs of running a business, improved efficiency and increased customer satisfaction. On the other hand, poor integration can produce undesired effects, wiping out the positive impact of software implementation.

Software vendors tend to offer complex business solutions that cover various business processes, from billing and accounting, to marketing and sales, to customer and technical support. Selection and deployment of the most suitable business solution therefore requires professional advice and detailed due diligence of underlying business strategy and core business processes.

Typically, implementation of sophisticated CRM and ERP systems can take months and even years, when deployed within large enterprises. The process should be closely watched by software experts who are experienced in the field of business software implementation and possess expertise to make the necessary adjustments in the software configuration to secure flawless performance of all systems. Evidently, business software deployment is a time-consuming process while most enterprises lack expert resources and means to complete successfully implementation of complex systems that feature various modules, with each of them requiring to be configured accordingly.

In general, deployment of complex and efficient business software solutions requires significant investment, a financial effort during which professional services provided by expert consultants can markedly lower implementation and post-implementation costs through careful assessment of existing and applicable solutions.

Benefits Offered by Deployment of Software for Business Intelligence Data Warehousing

Enterprise data warehousing (DW) is applied in virtually every corporation, with enterprises usually taking advantage of specialized applications to perform business intelligence data warehousing, whereas data warehouses solutions are made of servers, storage space, operating system, and specialized software. Software vendors also provide ready-to-use solutions that can be installed and run on a predefined set of hardware configurations, thus allowing enterprises to apply data warehousing in business intelligence without vast investment in new hardware and software. In addition, some software vendors have developed products that combine or run on various hardware platforms. For example, business intelligence data warehousing in Oracle systems enables managers and business owners to select from a variety of hardware platforms on which the software is able to run.

In fact, data warehousing is a process and procedure that allow managers and corporate executives to get easy access to valuable data and analyze these data for the purpose of market research or analysis of various market processes and trends. Business intelligence tools are an integral part of decent systems for data warehousing, which is often referred to as storing of data, with growing number of experts acknowledging that tools to extract data, and manage and get metadata should also be considered part of data warehousing business intelligence.

Enterprise data warehousing can be applied to support businesses in various elements of their day-to-day activities. Data warehouse applications can be applied successfully in decision support, financial forecasting, trend analysis, financial fraud analysis, etc. In fact, customized data warehousing solutions can be implemented by companies involved in any business, assisting managers in decision making process while storing valuable data for further analysis.

On the other hand, initial entry costs of data warehouse vary from $10,000 to $150,000 per terabyte; therefore, data warehousing is aimed mostly at medium-sized and large businesses that need their business intelligence tools to run smoothly, taking advantage of large volumes of data collected for analysis. Overall, implementation of data warehousing systems offers marked reduction in costs, securing low entry and maintenance costs.

Data warehousing is used in business intelligence applications partly because the performance offered by such solutions is usually better than the performance provided by other products for data storing, data retrieving, and analysis of data. Modern data warehouse platforms are able to secure high-performance using advanced analytics methods that were previously known for their low performance due to software and hardware issues that software developers and vendors were not able to solve in the past.

Scalability is another factor that plays an essential role in cost reduction with many software vendors offering data warehousing systems made of modules, which helps businesses in lowering upfront costs related to over-provisioning. In addition, scalability allows database administrators and IT managers to deploy solutions in line with company needs and requirements, following an analysis of business process and procedures within their respective enterprise.

In general, data warehousing applications provide visible results and cost reductions within months after implementation. Recently, software vendors started to provide solutions that are designed with business intelligence data warehousing in mind, thus enabling corporations to utilize such software products as strategic tools in running their day-to-day business activities.