Tsuruga Business Intelligence & Analytics 


Developing and changing market conditions and competitive environment of the technology and business world make it necessary for the enterprises to make practical and correct decisions in the intensive business processes.

All data from past periods can be analyzed by means of a reporting environment that is easy and fast to use for reporting data so that long-term targets can be set and instant decisions can be made to achieve this goals.

The leading company in the internet based corporate business solutions sector, SAP, meets all the sectoral needs of companies that want to access business intelligence solutions. SAP Business Objects is divided into four main divisions.

SAP İş Zekası


As ALFA, we provide consultancy, training and support services with qualified and sustainable solutions, SAP Business Intelligence, Budget Planning and Consolidation applications and our extensive and experienced SAP Business Analyst consultancy team.

SAP Business Objects Business Intelligence (BI) solutions enable your users to make effective, informed decisions based on tangible data and analysis. From the highest-tier analyst to the average worker, all users can leverage business intelligence solutions to access the information they need without depending on IT resources and developers.

With powerful business intelligence applications, all of your users can access information across the organization, format, analyze, navigate and share across the company.


  •  10+ years of SAP ERP and Business Intelligence Experience
  •  International Project and Support Experience
  •  Product Development in SAP BI and SAP Business Objects
  •  Wide Sector Experience

SAP analytics

sap raporlama

Business Intelligence Services

• Corporate Performance Management
• Budget Planning and Consolidation (BPC)
• Dashboards & Apps (Management Panels)
• Mobile BI
• HANA and Real Time Analytics
• Data Mining
• Big Data
• Data Quality

Our Business Intelligence Expertise Areas

• EPM: Corporate Performance Management
• BPC: Budget and Planning
• BPC: Financial Consolidation
• EIM: Enterprise Information Management
• Data Ambiguous Modeling
• Ready Report Sets
• Data mining
• Data Quality Analysis and Improvement
• Dashboard Applications



SAP Business Objects Business Planning and Consolidation (BPC) is a process-based approach that you can use for planning and consolidation in all your core business areas such as financial, sales, manufacturing, purchasing, human resources. If we summarize the ongoing planning problems;

Data Integrity: Data stored in different systems or Excel files is scattered and the reliability is not reliable.

Budget Process: It does not parallel with Business Processes, it takes too long and is open to mistake.

Execution Process: The difficulty of consolidating different Excel files, the lack of flexibility of existing planning products, the difficulties of end users with screens and the many technical details.

Basic Benefits with SAP BPC

  • Increase the accuracy of the planning process
  • Shorten the budget preparation process with user-focused, easy-to-use screens
  • Create a flexible budget model based on changing business needs
  • Make quick and easy reporting


  • Ease of Use & Familiar Interfaces
  • Rapid acceptance by users using BPC, Basic Microsoft Office Components (Excel) and the advantage of web browsers.
  • Planning and Consolidation processes on a single product.
  • Consolidation of Planning and Consolidation in a single product ensures that maintenance needs are reduced, guarantees data integrity, allows the user to offer flexible planning and consolidation functions.
  • Process ownership management
  • Management of processes, reports (with a small IT support) are end-users. Adaptive business process flows guide users and ensure consistency in processes.
  • Clear and easily adaptable application area
  • The user is aware that after a certain experience the applications can be tailored to their own needs and that they can easily generate their own reports.


The dashboard is a visual representation of the models with complex calculations. It allows administrators and end users to display many critical endings at the same time or in summary and to be easily perceived as visual.

Adopt Business Intelligence with powerful perceived visual panes and BI applications that interest your company. With our solutions, you can create mobile, highly interactive and role-based dashboards and make sure that you have access to these dashboards for reliable decision making anytime and anywhere.

Products that can be positioned in this scope include:

  •  SAP BusinessObjects Dashboards
  •  SAP BusinessObjects Design Studio


SAP BusinessObjects Mobile and SAP BusinessObjects BI documents are easy to access from your mobile devices. SAP BusinessObjects Mobile offers ad-hoc queries and BI analytics from anywhere. The mobile solution includes SAP BusinessObjects BI platform, SAP BusinessObjects Mobile server and client applications.

Supported Tools and Mobile Platforms:

  • SAP BusinessObjects Web Intelligence: iOS (tablet, phone), Android (tablet, phone), BlackBerry
  • SAP BusinessObjects Crystal Reports: iOS (tablet, phone), Android (tablet, phone), BlackBerry
  • SAP BusinessObjects Explorer: iOS (tablet, phone)
  • SAP BusinesObjects Dashboards: iOS tablet, Android tablet
  • SAP BusinessObjects Design Studio: iOS tablet


SAP Predictive Analysis allows you to reveal hidden content and relationships of your data and design visuals. Looking into your past keeps a light on your future. With SAP Predictive Analysis, data discovery, data visualization and predictable analytics solutions are combined. You can use all of your data to see your future with this tool, to capture associations and anomalies.

  • Intuitively create complex forecasting models.
  • Visualize, explore and reveal hidden predictions.
  • Create Big Data models with SAP HANA.
  • Integrate your predictions into BI environments and applications.
  • Find real-time answers to your questions.


Data quality; Is designed and sustainable to enable all kinds of information needed by all business processes to be carried out in the most accurate and effective manner. A confidence level or level of confidence that the provided data fulfills the needs of the data user in terms of accuracy, resolution and integrity is determined by the quality of the data.

The reports and analytics produced in the Business Intelligence projects are the face of the iceberg. The creation of ETL processes, data modeling and data warehousing is the part of the iceberg, and perhaps the largest indicator of the sustainability level of the project.

Data Quality, the rules passed on behalf of saving the day, the dark spots that programmers avoid (costing) the interrogation costs, the fact that many applications have the same data (like personal information) in different formats within themselves, They started to act like structures that control their current processes. Because in BI projects that do not manipulate data, in some cases incomplete processes or missing data are emerging. The main reason for this is data quality. At the beginning of the troubles in BI projects, there are free text fields that programmers do to save the day. These fields, which are most open to human intervention, cause problems in terms of software and data in calculations.

ALFA, with many of the Business Intelligence projects it undertakes, will add significant value to your company at an absolute level in terms of data quality.


Depending on your specific request, ALFA will assist you in setting up a totally new structure or integrated software with your existing IT infrastructure, as well as transferring all your data to the databases of your applications.

With data migration operations, businesses are saving a lot of time in the hassle of applications. In addition, there is no need to continue with old applications.

During the data transfer process, existing system data and new system data are analyzed and necessary definitions are made. After mapping between the source and destination areas, data transfers are performed manually or automatically.


  • Data Cleaning
  • Data Standarization
  • Data Classification
  • Data Enrichment
  • Data Verification