Your Data Analytics experts
The leading integrator for
BI, AI, and Data Analytics
Over the years, we've had the privilege to lead meaningful projects in various fields and scales. We know how to provide a tailor-made solution for every customer's need or challenge in the Data Analytics domain. Our customized solution starts with understanding the technological and business needs, continues with planning the architecture array and choosing the right tools, and goes on to develop, implement, and maintain it. In further stages, AI models are also integrated to surface hidden values which might exist in the data.
Alongside our broad capability to implement a data analytics solution to ANY organization, there are several business domains in which we have a special expertise. With our tailor-made proven solutions, time and cost of the implementation process will be minimal.
Nogamy is with you all the way for creating a top-notch solution
Choose you environment:
The array can be fully implemented in any cloud environment, private or public. This can be established on one of the big Cloud vendors - AWS, Microsoft Azure, Google with their proprietary tools or with 3rd party tools (ie: Snowflake as a DWH or Tableau Public Cloud as a BI application). A cloud option has benefits mostly in respect to the simplicity of implementation and its maintenance and also in performance scalability.
On-premises implementations are still a big share of the market. They exist in organizations which have past investments in them, or which are not allowed to use the cloud due to regulatory \ security reasons. The technological options are more limited than the cloud options and thus require careful planning and selection of the right tools.
A Data Analytics solution relies on data sources. These can be DBs of operational systems (ie: CRM, ERP), cloud-based apps (ie: SalesForce, Google Analytics), files (ie: excel sheet of company goals).
The relevant data needs to be mobilized to a Data Warehouse or directly to a BI Application.
Data mobilization is done by using dedicated ETL/ELT tools. These have connections to the different sources of DB/API/File and allow for scheduling the data extracts. It is common that the ETL will also include manipulation logic to integrate and transform the data to its modelled structure in the DWH or the BI Application.
A DWH is crucial when dealing with large masses of data and\or a data model which requires integration of many data sources and\or the data manipulation logic required is complex. In the case of simple and small arrays a DWH can be skipped, and data can be mobilized directly to the BI application's semantic layer.
In case of BigData there might need to be an extra layer of a Data Lake before \ instead of the DWH.
The BI Application is the basic tool thorough which a user can consume reports \ dashboards and can perform ad-hoc analysis of data.
The BI app. relies on the data model that is stored in the DWH or in its own proprietary data model (if no DWH exists).
We work with customers from a wide range of industries and scales. Hi-Tech, Defense, Telco, Manufacturing, Retail, Commerce, Logistics, Distribution, Finance.
Nogamy solves complex problems utilizing a toolbox of various technologies. Our vast experience in implementing different tools allows us to objectively adapt the best technological tools for every organization.