Creating and defining strategy
The point of breakeven at data warehouses is usually reachable in several years. In order to assure the investment’s mid and long term return, they need to be set up following a business strategy. Defining a strategy for data warehouse is a very complicate task, because of the constantly changing business requirements and the organization’s knowledge regarding the data warehouse possibilities.
The experience of experts of the XT is based on several data warehouse projects. Over the years we got to know all the most advanced technologies and efficient methods applied and also the seniority of our experts we are the most capable partner for Creating your data warehouse strategy.
The XT’s experience is quite unique meaning that not only it can assure the profitability, but it defines such project increments, that are feasible and considering the client’s options and environment.
The root causes of the 6-7 years execution time and improvement, operation, maintenance period of the data warehouse projects are the technical, quality and functional limitations, which are making the satisfaction level of users decline. Because the original costs of building and maintenance were high, it is hard to start projects to remove the limitations.
In these cases the most efficient and cost efficient mid and long term solution is to redesign/rebuild on up-to-date foundations. XT is the company which is the best partner for its clients, because it can provide the resolution for a successful company with market leader technology and BI solutions. The redesign is being offered after a detailed survey and creating a detailed strategy with several different editions.
The success of data warehouse projects is also depending on the shipping partner’s proper quality control. The success rate declines the more contractors are hired to execute the project. In such cases the less competent party should be educated with the missing know-how. Unfortunately because of the size of the project at several cases such companies are applying for the project, that have no experience and proof on managing and executing projects like these.
The XT has provided its services for several data warehouse implementation both on supplier both on procurer sides.
The execution of data warehouse projects encounter difficulties due to several reasons. In the case the procurer, which lacks the expertise on data warehouses, delegates the audit tasks on the current state to a third party company, which will support their decisions for corrections needed.
The XT is capable to audit such states with proper methods with proper audit results to support the procurers efficient and correct decisions on the way to the success.
Data warehouse specific project professional management
The requirement of successful data warehouse projects, that its professional elements are aligned to a standard strategy which is for reaching the projects objectives, in order to manage the possible issues and make the right decisions based on proper experience. At XT we have senior data warehouse projects managers, who have the proper knowledge and references in this segment.
VLDB data warehouse tuning, optimization
The bottleneck of databases –which are common at data warehouses – is the efficient update and exploitation processes of the source data, which are making a direct impact on the availability and the exploitation performance. The experts of our company have experience with 100TB+ special tuning and optimizing solutions and with such experience they are capable of handling such professional challenges with success.
Designing and execution
In several of cases the designing and implementation of data warehouses is not successful, due to the specific characteristics of data warehouses. One of the most common reasons is the lack of expertise and the company is not pledged to make a change.
The XT’s clients, references, experts’ experience and reference are the leverages for a successful data warehouse design and implementation. XT has proven in several cases that there is no impossible data warehouse project to execute.
Integration of the source system
The need for frequent modifications in already existing data warehouses, integration to the source system as a new or already existing source system substitution.
The XT can meet criteria like these due to the expertise, experience and references in this field of business. This means that it can fulfill projects with tight deadlines or it can take on quantity challenges as well, with competitive costs.
Data warehouse and data mart modeling
The quality of the data warehouse is defined by the historic and itemized data model, also its data marts’ data models.
The XT and it’s experts have successfully managed countless organizational data warehouse modeling tasks, also in selected industry it has a reusable data model which fastens the planning process. Thus the XT assures the defining models methodical and content quality on the long run.
Data warehouse specific project management
The data warehouse projects has its own literature, because special knowledge and experience is needed to successfully compete on the market. At XperTeam we have senior data warehouse projects managers, who have the proper knowledge and references in this segment.
Designing and implementing architecture
The obligatory professional and methodical responsibility of data warehouses is their architecture designer’s. The solution-functional and technical architecture design are two different design tasks of architecture design.
The expert of the XT has proven themselves in multiple projects, both solution-functional, both technical architecture design. The XT can provide such services for its clients.
Operation and support
The operation support of data warehouses is different from the operative systems. XperTeam offers and provides SLA service both in Hungary and abroad an SLA based data warehouse operation support to its clients.
Product, version path & implementation strategy
Licensing strategy planning
Oracle product version migration
Business Intelligence design & implementation
Business Intelligence solution, tuning, optimization
Business Intelligence solution redesign
BigData Hadoop implementation
Workshop, training & education
Analytic tools implementation
Reporting system design & implementation
Integration of analytic applications Google, Facebook & Twitter (DW-BI integration)
Our analytic solutions are based on automatic network data analysis. The requried sources are Googla Analytics and Facebook Insights. With analysing coprportate websites, applications and social channels we can highlight important relationships of our users’ behavior and habits.
The XperTeam’s solution integrates the analytics into the business intelligence, which enables companies to be more efficient with their online and social presence. With analytics we can highlight a website’s (applicaton’s) strengths and weaknesses: search result position, yield compared to competitors, user behaviour on our website, etc. The practical benefits of the service when analysing the target segments: modeling user behaviour, also getting to know the potential clients pretence. Bounded with business intelligence we can learn valuable lesson, which supports our company’s marketing and sales activities.
To analyze the continuously evolving open source web analytics’ complex data sets, it requires in-depth experience and determination. Our service’s USP is that the inferences of the analyses can be directly uploaded to the websites with business intelligence modules in automated processes.
Business intelligence solutions based on networks analytics are much in demand, which not only proves their reason of existence, but it assumes the growth of their market shares. Because of the the XperTeam takes the quality implementation of the service seriously, in order to fulfill our partners requirements we provide delegated analytic experts. Should you have any questions, please do not hesitate contacting us!
OFSAA (Oracle Financial Services Analytical Application)
BigData Hadoop, NoSQL Analytical implementation
Oracle R Enterprise implementation
Oracle Exadata, Exalytics, Database Appliance, BigData Appliance
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