The age of intuition
has expired
From now on, with the help of InfoTeCo, you can make
data-driven decisions instead of relying on intuition.
The age of intuition
Why do this?
More and more decisions need to be made in less and less time and this puts a lot of pressure on corporate decision-makers. The need to move forward in a conscious, data-driven way is there for many people, but it is easier to say this than to start extracting and interpreting raw data.
Today, however, the question is not whether companies will introduce a comprehensive data strategy, but when. The treatment of data is no longer a competitive advantage, but the only condition for survival.
The good news is that most companies already have plenty of information and tools that can produce spectacular results after setting up the right business intelligence systems. InfoTeCo can provide you help in this field.
What do we do?
It's easy to get lost in the sea of technologies and it is important to choose solutions that fit your business strategy.
That is why our first and most important question is going to be: what do you need?
Do you want to understand your
clients’ behavior better?
Would you like to see the patterns
that you can make predictions from?
Perhaps you want real-time reports and
based on these you can make decisions?
During consultations, instead of standard solutions we are going to look for relevant technological
solutions that will pay off and bring you closer to your business goals.
What technologies do we work with?
We design and build data warehouses and business intelligence systems
with the latest technologies:
Big Data
Blockchain
Microsoft Azure
O365
artificial intelligence (AI)
machine learning
IoT
chatbots
In addition, we are building a multi-player Big Data hub that is going to provide us much greater volume
and depth of data segments that make it easier for companies to understand and predict the behavior of their customers.
References
Aegon insurance company.
Review and audit of the data warehouse to be introduced by the insurance company, making proposals and giving advice.
Systems used
IBM DB2, IBM DataStage. Oracle DB. DataVault methodology.
Bank of China
Participation in the planning and development tasks of the data warehouse for statutory reporting towards the Hungarian Central Bank (MNB), as well as the preparation of the necessary reports and support tasks.
Systems used
Oracle 12 DB, Oracle PL/SQL, TOAD, PL-SQL Developer
Cetelem
Participation in the planning of an integrated data warehouse, GAP analyses of two business areas, Implementing common business logic and computing algorithms for Oracle/SAS data warehouse.
Systems used
Oracle DB, SAS DB
Erste Bank
Participation in the development of the bank's ETL processes, Supporting the loading of DM layers, developing the loading of the CRM data market.
Systems used
Oracle DB, Oracle ODI
Council for Public Procurement
Participation in the local data warehouse project. Complete implementation of the STAT module, from design to development and reporting to testing.
Systems used
Oracle DB, Oracle APEX, Oracle PL/SQL, Oracle BI Administrator, Oracle BI
K&H Insurance Company
Participation in the development of the Insurance company’s data warehouse from loading csv files from source systems to loading on different architectural layers.
Systems used
HortonWorks, TeraData DB, Oracle DB, StoneBranch
MagNet Bank
Participation in the planning and development of the bank's reporting service data market.
Systems used
MS SQL, SAS Casir9
MVM Information Technology
Planning and development of data loading processes from SAP HR and Passport, DM layer development, creating reports and dashboards.
Systems used
Oracle DB, Oracle PL/SQL, Oracle BI Administrator, Oracle BI
OTP Bank
Participation in the planning and development of ETL processes of the Hungarian, Ukrainian and Bulgarian Transactional Data Warehouse, data markets validation, business needs assessment, preparation of developer specifications, call-center agent activity measurement and motivation.
Systems used
Oracle DB/Designer/Warehouse Builder/Workflow/BI, APEX
Provident
Assessment of the relevant data sources of the Hungarian Central Banks L11 mandatory reports, creating analyses, planning the implementation architecture, creating, testing and follow-up of developments.
Systems used
MS SQL adatbázis
Sberbank
Assessment of the bank’s Data Warehouse-based statutory reporting needs, including planning, specification and business testing.
Systems used
Oracle DB, Cognos
Raiffeisen Bank
Participation in the design of the banking data warehouse from processes to reports. Participation in the business planning of KHR V.4.0, Creating GAP analyses, providing business analysis tasks in connection with the large-scale upgrade of the Data Warehouse.
Systems used
Oracle 11 DB, Oracle PL/SQL, IBM DataStage
Magyar Telekom
Participation in the development of ETL processes in the local data warehouse. Assessment of business needs. Planning and development of a MiddleWare layer for Telekom Mobile applications and a Microservice-based WEB Shop.
Systems used
Oracle DB, Kotlin (Reactive), Kubernetes, Helm, Mongo DB
Telenor
Supporting the implementation of the Telenor international IFRS 15. Creating B2B and B2C IFRS accounting postings from the company's traffic data. Providing professional support, planning and implementation of the project.
Systems used
TeraData, Unix Aix, Shell scripts
Teva Hungary
Development and the design of a MIS data warehouse based on order and traffic data generated in the Logistics Center, training of implemented dashboards, reports and applied BI systems.
Systems used
Oracle DB, Oracle DataWareHouse, TCL, Oracle Administrator, Oracle BI
UniCredit Bank
Participation in the planning and development of statutory reporting statements. Assessment of business needs, providing planning and development tasks, project management and support. KHR V.4.0 business planning. Preparation of GAP analyses.
Systems used
SAS DB, SAS kódok, Python, Unix Aix shell
Wizz Air
Participation in the planning and development of decision-supporting reports, assessing and consolidating the needs of different departments, testing developments.
Systems used
MS SQL, Oracle DB, BizzTalk
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