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We understand data. We know that it’s not the amount of data that matters; it’s how you see it and how you use it. We take your data, organize it, analyze it, and summarize it, so you can use it to make more informed business decisions.

CASE STUDY 1

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

CASE STUDY 2

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

CASE STUDY 3

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

CASE STUDY 4

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

CASE STUDY 5

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

CASE STUDY 6

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

DATA MANAGEMENT DATA MANAGEMENT

DATA MANAGEMENT

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

Advanced analytics & insights Advanced analytics & insights

Advanced analytics & insights

A. KPI Setting and measurement
Knowing which KPI’s to look at is the first question for any data-driven organization, the second question is how to measure it. We help our clients through a collaborative process to differentiate between vanity and actionable metrics, identify the Key actionable result-oriented KPI’s, and define the best suitable way to calculate them that would paint the most accurate picture of their business performance.

B. Reporting and Dashboards
It’s not about putting numbers on charts and graphs, it’s about which metrics to choose for which chart type, which visuals together talk to each other, and how it all boils down to actionable insights that can be taken at a glance. Dashboard creation is not an art, it is a science. We do everything from choosing the right platforms, implementing the solution, building, and maintaining dashboards and reporting.

C. Advanced analyses and insights
Analyses is where business meets statistics, and it’s the air that a data-driven organization should breathe. After organizing the data, identifying metrics and KPI’s, visualizing them and seeing the insights, all this provides solid facts to be used in future planning from budget allocation to strategic direction for the company.

BIG DATA APPLICATIONS BIG DATA APPLICATIONS

BIG DATA APPLICATIONS

A. Big Data Solutions
Big Data is not just a buzz word, it’s an approach to deal with a data challenge a lot of businesses have. We offer solution design, implementation and maintenance so that the customer can focus on running the business in a data-driven way.

DATA SCIENCE & MACHINE LEARNING applications DATA SCIENCE & MACHINE LEARNING applications

DATA SCIENCE & MACHINE LEARNING applications

Our expertise in Machine Learning and AI Models allows us to look at business questions and use AI to answer them. We start from the business questions, capitalizing on our consultants’ business and technical expertise, providing a solution that can lead efficiently and effectively to result-focused solutions.

Amr Mostafa

Amr Mostafa

Founder & Principal Consultant

With over 10 years of experience, Amr is has a unique blend of business and technical experience that allows him to build data-driven decision-making tools that actually work. Amr started his analytics career working at Vodafone, where he kick-started his venture for driving business through data. He has since worked on data analytics and data science projects in various industries such as Telecom, healthcare, Digital Marketing, Retail, E-commerce, Pharma, and more.

Loay Haggag

Loay Haggag

Analytics Consultant

Loay has worked in various positions throughout his 15+ years of experience, ranging from Customer Care to Analytics, and Training, which makes him see things from the business lense as clear as the client, and create the data-driven solutions design that caters to the exact needs that client has. Loay enjoys building impactful tools and solutions, which he does in the most collaborative sense with the clients. Loay is also a certified training professional, where he has helped tens of professionals get to use the technical analytical tools to answer their business questions.

Ahmed Mostafa

Ahmed Mostafa

Analytics Consultant

With over 10 years of experience, Ahmed is an innovation-focused entrepreneur with business Intelligence and Data Analytics expertise carrying eight years of experience delivering excellent customer services, data reporting, and visualization. Co-founded a retail start-up to have 4 retail stores with a dominant online presence across the country. With an Engineering background, yet versatile, with a strong blend of management, creative, and analytical skills. Through his experience, Ahmed has an eye for business-oriented analytics that makes his input with clients always on-point.

Ayman Ghoneam

Ayman Ghoneam

Strategy

E&E engineer by education. Experienced business developer and venturer by profession. Dynamic, analytical, well-organized, result-oriented and driven by innovative ideas that shape our tomorrow.

Ayman is passionate about working with individuals, startups and productive communities, helping develop their potential and capacity to grow, and making their dreams come true.

Ayman’s mission is to study, think, develop and implement new, adaptive concepts, rather than models, that better fit our dynamic environment, and help cover a gap or overcome a complex challenge.

  • (415) 617-9964
  • 2 UNIVERSITY PLAZA DR SUITE 100, HACKENSACK, NJ 07601