The Nogamy People -
at your service

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.

Nogamy People

שירות מיקור חוץ בו נשלב מומחי Data שלנו במערך שבניהולכם בהתאם להגדרות הפרופיל שתספקו לנו. כל Nogamy Person שלנו מלווה במעטפת השירות המקיפה שלנו.

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Nogamy Pro

אנו מציעים שירות פרויקטים מקצה לקצה לישום מערכי Data analytics.
תוך שימוש ופיתוח במגוון טכנולוגיות וכלים מתקדמים, נספק לארגונכם תוצרים בעלי ערך עסקי משמעותי.

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Nogamy Think

שירות ייעוץ מומחים בו נעמיד לרשותכם את הידע הרחב שלנו ונסייע לכם לתכנן את ארכיטקטורת ה־Data Analytics המתאימה ביותר לאסטרטגיה שלכם.

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Nogamy MS

שירות מנוהל, חלקי או מלא, של גופי Data Analytics או BI בארגון שלכם.
מנהל בכיר מתוך נוגמי לצד צוות שיוקם עבורכם, יישאו באחריות השוטפת לתוצרים איכותיים תוך עמידה בזמנים, כמות תוצרים מוגברת והפחתת עלויות.

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Our customers

We work with customers from a wide range of industries and scales. Hi-Tech, Defense, Telco, Manufacturing, Retail, Commerce, Logistics, Distribution, Finance.

For over a decade, Nogamy’s data people have been assisting organizations to

transform data into valuable business insights

Domain expertise

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.

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Scheme of a typical
Data Analytics array

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.

  • Data sources

    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 integration
    (ETL/ELT/STREAM)

    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.

  • Data Warehouse / Lake
    (Storage & Processing)

    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.

  • Visualization and Analysis

    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).

Expertise in a wide range of technological tools

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.

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A word from our customers ...

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נוגמי השותפים שלנו במשך תקופה ארוכה משלב הקמת מערך ה- Data Analytics שלנו, דרך הרחבתו, העברתו לענן והפיכתו לנכס עסקי משמעותי לכל רמות הארגון. נוגמי מעמידים עבורנו צוות מקצועי, שירותי ואיכותי שיודע לתת פתרונות מתקדמים

מירב הדרי מנהלת מערכות מידע, גלוברנדס

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