Before shooting in all directions..

You should plan your Data Analytics
carefully, using know-how
and best practices
from experienced professionals

Defining a Data analytics strategy, designing the adequate architecture and matching the correct technology to your organization’s needs – This is exactly what our experts can help you with.

The expertise of our professionals covers a broad range, from the data infrastructure, the integration, and data model layer to the visualization, reporting and analysis layers.

We are committed to top-notch service in assisting you to plan the best Data Analytics solution for your needs.

Nogamy’s experts will be happy to consult you in various domains:

  • 1. Data Analytics roadmap

    whether you are considering an establishment of a BI / BigData / Advanced Analytics solution, or you already have one and are considering how to take it to the next level - we will provide you with a plan for moving forward.
    Our roadmap methodology will process your data requirements (current and expected), analyze your data sources, and will create a recommendation for an advanced data analytics solution.
    The recommendation will include four elements:
    1 - Prioritized list of clear business requirements.
    2 - Logical data model for a DWH \ Semantic layer.
    3 - Architecture and tools for end2end data pipeline.
    4 - Work plan, phased and practical for developing the Data Analytics solution

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    1. Data Analytics roadmap

    whether you are considering an establishment of a BI / BigData / Advanced Analytics solution, or you already have one and are considering how to take it to the next level - we will provide you with a plan for moving forward. Our roadmap methodology will process your data requirements (current and expected), analyze your data sources, and will create a recommendation for an advanced data analytics solution. The recommendation will include four elements: 1 - Prioritized list of clear business requirements. 2 - Logical data model for a DWH \ Semantic layer. 3 - Architecture and tools for end2end data pipeline. 4 - Work plan, phased and practical for developing the Data Analytics solution

  • 2. Establishing your Data Analytics array on the cloud

    Do you have an existing on-premises BI \ Data Analytics array and you wish to convert it to the cloud?
    We will help you plan it, choosing the right cloud environment and tools.
    the conversion plan will be constructed to minimize the risks of service loss, performance problems, security issues and data inaccuracy.
    After careful planning we can do the actual conversion and implementation for you.

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    2. Establishing your Data Analytics array on the cloud

    Do you have an existing on-premises BI \ Data Analytics array and you wish to convert it to the cloud? We will help you plan it, choosing the right cloud environment and tools. the conversion plan will be constructed to minimize the risks of service loss, performance problems, security issues and data inaccuracy. After careful planning we can do the actual conversion and implementation for you.

  • 3. BigData architecture plan

    Whether you already have a Data Analytics array or not, you might be considering the establishment of an array that supports big data.
    Such an array can be an evolution of your current Data Analytics assets without having to throw away all your previous investment in it.
    In any case, the architecture and tool options are vast in the BigData arena, so we offer a process which examines your needs and your data sources to plan the optimal fit for you.

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    3. BigData architecture plan

    Whether you already have a Data Analytics array or not, you might be considering the establishment of an array that supports big data. Such an array can be an evolution of your current Data Analytics assets without having to throw away all your previous investment in it. In any case, the architecture and tool options are vast in the BigData arena, so we offer a process which examines your needs and your data sources to plan the optimal fit for you.

  • 4. Data Science use cases implementation

    If you have reached a decision that it is time to take your analytics to the next level and extract more business value from it, maybe using Data Science models is for you.
    First, a plan for a successful initiative must be devised. The plan should include several crucial ingredients:
    A) A list of use cases. Such that can potentially bring substantial business value and cannot be solved using standard tools of analysis.
    B) A methodology and set of tools for the Data Scientist.
    C) Competent professionals for doing the job.
    D) Data sources that will serve as input to the use cases and a plan as to how to extract the relevant and cleansed portion of it.

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    4. Data Science use cases implementation

    If you have reached a decision that it is time to take your analytics to the next level and extract more business value from it, maybe using Data Science models is for you. First, a plan for a successful initiative must be devised. The plan should include several crucial ingredients: A) A list of use cases. Such that can potentially bring substantial business value and cannot be solved using standard tools of analysis. B) A methodology and set of tools for the Data Scientist. C) Competent professionals for doing the job. D) Data sources that will serve as input to the use cases and a plan as to how to extract the relevant and cleansed portion of it.

  • 5. Selecting the right BI \ BigData software & hardware

    In some cases, a full Roadmap plan is not the requirement but rather only the technological tools and architecture decision's part.
    This is relevant when you already have the goals of Data Analytics set up and you have a detail design of the KPIs, reports, analysis that you require.
    Tool selection must be made for all layers of the data array - ELT\ETL , Storage of data model (ODS, DWH, Data Lake), BI application, Data Science tools.
    The comparison of tools should consider both on-premises and cloud options.

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    5. Selecting the right BI \ BigData software & hardware

    In some cases, a full Roadmap plan is not the requirement but rather only the technological tools and architecture decision's part. This is relevant when you already have the goals of Data Analytics set up and you have a detail design of the KPIs, reports, analysis that you require. Tool selection must be made for all layers of the data array - ELT\ETL , Storage of data model (ODS, DWH, Data Lake), BI application, Data Science tools. The comparison of tools should consider both on-premises and cloud options.

A Data Pipeline architecture example

Q&A

What is the business engagement model for this service?

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We will fit the business engagement terms to your preference. It can be based on hourly tariffs, monthly tariff or priced per a scoped task.

There is a BI application that we are considering, how can you assist us?

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Nogamy has a methodology for comparing different sets of tools based on different criteria in the Data Analytics domain. Coupled with hands-on experience with many of the tools, we can analyze your needs and recommend the best ones for you..

How objective is Nogamy in its recommendations?

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Nogamy's core business is implementing customized data analytics solutions that best fits an organization needs. We are committed to unbiased recommendations which will be based only on what's best for you.

Can you also implement the roadmaps and recommendations that you prescribe?

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Absolutely! "We put our money where our mouth is.."

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A word from our customers ...

More customers
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A proficient team from Nogamy has conducted an elaborate HLD process for us which brought substantal value. The outcome of this process provided us with a proposed data architecture and implications of doing such an upgrade.

Yaniv Ben-Haim Project Manager, Malam PayRoll

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Nogamy is a lot more than our BI vendor, they are our partners, and that is why we have a long term engagement with them.

Aviram Peleg CIO, Hye

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Great experience working with Nogamy! They provided an embedded analytics solution of high quality and in a short timeline.
Thanks to the solution provided, both our management and our customers have a clear view as to the performance of our installed products.

Kobe Tamsut Cybersecurity Marketing Consultant

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During Nogamy’s engagement at Afcon we conducted activities in multiple areas of establishing our technological product. for each area Nogamys has provided people with differen skills, and yet it felt as though we were working with a single unified team, dedicated to achieve the goals that we set for them. I want to express my appreciation on effort, devotion, dedication and professionalism.

Asaf Lustig Cloud and Analytics manager, Afcon Software

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We are very pleased with Nogamy’s work. Nogamy has accompanied us in the establishment of our Data Analytics solution. Nogamy provides us with expertise, service and flexibility of the highest level.

Eliad Merimi COO & CTO at iintoo invest-together

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Nogamy has implemented a Service Center dashboard that has provided us with substantial business value. Due to Nogamy’s thorough knowledge and best practices, along with their communication srength with the business and with the IT stakeholders, we have received a solution that successfully supports management.

Noam Butbika Chief Of Staff in the Service, Sales and Digital Division

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Nogamy is a complete Data Analytics house that amongst other things can supply top-notch professionals for AI and BigData roles.

Galina Osnitsky Head of marketing analysis department

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Our deepest appreciation to the Nogamy team who provide swiftness and flexibility by their Managed Services to our Data Analytics domain. They provide us with enhanced productivity and quality, all with good spirit, devotion and dedication to the tasks at hand.

Shlomo Shamay CIO, Ayalon Insurance

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In building our data strategy, we faced many challenges. We looked for a one-stop-shop partner, which is not technology biased and can support us end-to-end with this ambitious initiative. We found this in Nogamy – and much more! They were super professional, fun to work with and flexible in allocating experts along the project’s lifecycle.

Alon Goldman Head of IT Enterprise Solution & Data Architecture at Maytronics

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Nogamy has been our partner from the initial stages of creating our data analytics solution, through its enhancements, transporting it to the cloud and establishing it as a significant business asset for our organization. Nogamy has provided a team of service-oriented professionals that deliver advanced quality solutions.

Meirav Hadari CIO, Globrands

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Nogamy has done an excellent work at Neto in building an End2End Data analytics solution that provides us with significant business value in analysing agent commissions, salaries, auditing company profit and more. The Nogamy team is professional and it is apparent that they care for their customers. Well done!

Dana Katz CIO, Neto

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Partial or full managed service of the Data Analytics \ BI unit in your organization. A senior manager from Nogamy, along with a team set up for you, will take the ongoing responsibility for quality deliverables, increased productivity, and reduced cost.

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An end-to-end project service in which we will implement Data Analytics solutions with pre-defined scope while using various tools and technologies in pursuit of solutions with significant business value.

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Nogamy People

An outsourcing service in which we will integrate our data experts into your Data Analytics unit following the detailed profile definition you will request. Each Nogamy person is accompanied by our broad service package.

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