The classic principles of competition between companies are no longer relevant... nowadays market advantage can be based on efficient and effective operation, decision-making and ability to achieve maximum value from the business process. These challenges can be faced thanks to the strategic use of analytics.
The classic principles of competition between companies are no longer relevant... nowadays market advantage can be based on efficient and effective operation, decision-making and ability to achieve maximum value from the business process. These challenges can be faced thanks to the strategic use of analytics.
Thomas Davenport, „Competing on Analytics”
The classic principles of competition between companies are no longer relevant... nowadays market advantage can be based on efficient and effective operation, decision-making and ability to achieve maximum value from the business process. These challenges can be faced thanks to the strategic use of analytics.
Thomas Davenport, „Competing on Analytics”
Thomas Davenport, „Competing on Analytics”
Kaggle with SAS - part two

In the previous part of the cycle entitled ‘Kaggle with SAS – first steps with data’, we explored data by means of SAS University Edition (hereinafter referred to as SAS UE) to get familiar with their basic characteristics. This time we will handle the initial data preparation and develop a simple classification model using logistic regression.

EXPERT BLOG
Agile methodologies in Business Intelligence area

The statistical data concerning implementation of projects of different size, using agile methodologies, indicate on the average 350% more successful implementations in comparison with the cascade approach. In the large project category, as many as 600% more Agile implementations were successful in comparison with standard cascade implementations (source: CHAOS Report 2015).

EXPERT BLOG
Kaggle with SAS – first steps with data

he Kaggle platform for analytical competitions and predictive modelling founded by Anthony Goldblum in 2010 is currently known almost to everyone who had contact with the area called Data Science. Thanks to its rich database, simplicity of operation and especially the community, it has become hugely popular over the years.

EXPERT BLOG
Arrow
Arrow
Slider

MEET SCS EXPERT

SCS Expert is a consulting company specialised in the field of business analytics. We provide IT services on the basis of SAS and Open Source software.

We implement innovative projects allowing to use the potential of advanced possibilities provided by SAS technology and Open Source tools. The company’s vision is to provide the highest quality services that guarantee a high level of customer satisfaction, as well as satisfaction of our employees and partners. Our mission is to create and develop business value through supporting projects effectively and providing solutions in the field of analytics at every stage of implementation.

We are specialised in solutions based on SAS software and we are proud of the team of over 100 specialists, architects, data mining experts and project managers.

The company has been active since 2015. We provide services for Polish and foreign entities, starting from installation of software, through implementation, ending with maintenance and administration of the newly developed solution.

WHAT MAKES US DIFFERENT?

Strategic cooperation with SAS

Within the framework of strategic cooperation with SAS, we execute implementation projects and provide a wide range of services in various business areas.

Complex execution of implementations

We execute complex implementation projects of analytical solutions, starting from the design stage, through implementation, ending with system maintenance.

Team of best experts

We employ the best experts with deep knowledge of technologies and broad project experience.

SAS and Open Source software

SCS Expert is a partner of Hortonworks, one of the main commercial providers of Hadoop technology. Our consultants have certificates in development of both Hortonworks and SAS. Thanks to this, we are able to implement successfully projects which combine Hadoop and SAS technologies.

BUSINESS AREAS

Data Warehouse
& Data Management
Unified approach to data management processes in organizations
Unified approach to data management processes in organizations, including data integration, assuring their quality, aggregating information, giving them business sense, and Data Governance. Projects implemented jointly with SAS Institute.
Big Data
Processing and analysis of large, variable and variety data sets.
Processing and analysis of large, variable and variety data sets. SCS Expert has a dedicated Data Engineering Team (DET), which has experience in SAS and Open Source technologies, especially in Hadoop. SCS Expert is also a member of Hortonworks Consultant partner program.
Customer Intelligence
Solutions
Acquire, integrate, and use customer data
Acquire, integrate, and use data to maximize customer value in its lifecycle. Projects implemented jointly with SAS Institute.
Risk Management
& Fraud Detection
Detection and management of fraud
Detection and management of fraud, supported by advanced analytical solutions. Projects implemented jointly with SAS Institute.
Analysis & data
visualization
Reporting, visualization, and data mining
Reporting, visualization, and data mining. Projects implementation from the installation and configuration of tools, modeling and preparation of data, through the creation of reports and dashboards, to tuning solutions for performance optimization, especially for large volumes of data. Projects implemented using SAS technology.
Installation, Configuration
& Maintenance
Professional installation, configuration and maintenance services
Professional installation, configuration and maintenance services are key to success of business continuity. SCS Expert has a dedicated Installation, Configuration and Maintenance (ICM) Team, which provides installation and maintenance services e.g. SAS or Hadoop.

SCS Expert Sp. z o.o.

  • Poland, 01-633 Warsaw, ul. Gdanska 27/31
  • +48 22 560 47 00