17
years in the market
Over the years, we have mastered all components of effective data governance and can help you with establishing value-adding and effective data life cycles.
Andersen is a knowledgeable vendor of Consulting Services in all data-related domains
40+
Data experts
Andersen’s Data experts possess an extensive body of knowledge covering end-to-end data platform issues, tech audits, AI and ML, data archiving, BI, and more.
150+
Consulting projects
Since 2007, we have implemented an entire range of sophisticated and challenging projects in the Data Platform domain, which makes us a great IT partner for you.
17
years in the market
Over the years, we have mastered all components of effective data governance and can help you with establishing value-adding and effective data life cycles.
40+
Data experts
Andersen’s Data experts possess an extensive body of knowledge covering end-to-end data platform issues, tech audits, AI and ML, data archiving, BI, and more.
150+
Consulting projects
Since 2007, we have implemented an entire range of sophisticated and challenging projects in the Data Platform domain, which makes us a great IT partner for you.
Andersen's certified professionals
Work with truly reliable and certified experts
Overview of Data Platform Consulting Services
Andersen's consultants are practicing Data engineers that perform a broad set of services – from overall data governance to specific data platform solutions.
Data governance
Depending on your needs, our consultants have all the processes and knowledge in place to assess and envision proposals in the broad area of data governance – from data quality and data security policies to target data modeling, operations, reference data, and data architecture.
Data platform solutions
Possessing knowledge of unified data infrastructures, we enable our customers to use them with maximum efficiency: sources, ingestion and transportation, storage, query and processing, transformation, and analysis and output. Andesen's expertise covers AI and ML, archiving, BI, E2E data flows (ETL and DWH), and tech audits.
Well-structured approach
In order to provide the most cost-effective and productive recommendations, our team had clear project scenarios for each case – with all inputs, activities, deliverables, suppliers, participants, consumers, and tech drivers clearly defined for a quick start and swift implementation.
Typical data platform solutions
If you need improvement in IT capabilities that process data, we can help you with an actionable cost-efficient plan that will be clearly related to your existing pain points and business needs.
Artificial Intelligence and Machine Learning
In the domain of AI and ML, our specialists possess solid expertise in predictive analytics, anomaly detection, recommendation systems, and NPL, as well as computer vision and optimization. This makes us a knowledgeable vendor in adding AI and ML capabilities to your data systems.
Archiving
Andersen is ready to be your source of expertise concerning how to deal with the data you already have in store yet need to de-operationalize – for instance, due to regulatory requirements. We advise on how to apply archiving and subsequent restoration processes to prevent potentially destructive loses and satisfy RPO and RTO metrics.
Business Intelligence
Reach out to our company to get actionable advice concerning self-service, interactive, and embedded BI plans, covering such must-haves as informative dashboards, advanced queries, sophisticated ad-hoc queries, and more. Andersen's Data team is fully prepared to assist with complex data visualization and manipulation management for data-driven BI apps and portals.
Tech audits and E2E data platform consulting
A tech audit is aimed at identifying bottlenecks concerning data storage, processing, and preparation, as well as queries, data models, potential improvements, etc. Once issues are identified, we provide advice for their E2E removal. Andersen's experts are prepared to cover the ETL aspect – i.e. assess how data is Extracted from original sources, Transformed by de-duplicating and combining, and Loaded into databases. Also, we can provide assistance with enterprise data warehousing (DWH) and usage of systems for reporting and analysis.
Data governance dimensions we navigate through
Data Modeling, Design, Storage, and Operations
In this respect, we advise on how to discover, analyze, and determine the scope of the data requirements and then represent and communicate them as a precise data model. Andersen also helps to design, implement, and support stored data to maximize its value.
Data Security, Integration, and Interoperability
Here, we help to define, plan, develop, and execute security policies for proper authentication, authorization, access to, and auditing of data. Andersen's specialists also inform customers about how data should move and be consolidated.
Doc and Content Management
Andersen's consultants will help you outline the best way to plan, implement, and control various activities concerning the life cycle management of data or other valuable information found in any form or medium.
Reference and Master Data
Andersen will assist you with managing your company's shared data so that it meets and matches organizational goals. Our consulting goals are also to reduce the risk of redundancy, ensure higher quality, and diminish the costs of data integration.
Metadata
As a dependable consulting partner, we are fully prepared to make a contribution to effective planning, implementation, and control activities in order to enable access to high-quality, integrated metadata.
Data Quality and Architecture
Data Quality is about activities that apply quality management techniques to data in order to assure it meets the needs of data consumers. Data Architecture is about identifying the data needs of the enterprise, as well as designing and maintaining the master blueprints to meet these needs.
Data Modeling, Design, Storage, and Operations
In this respect, we advise on how to discover, analyze, and determine the scope of the data requirements and then represent and communicate them as a precise data model. Andersen also helps to design, implement, and support stored data to maximize its value.
Data Security, Integration, and Interoperability
Here, we help to define, plan, develop, and execute security policies for proper authentication, authorization, access to, and auditing of data. Andersen's specialists also inform customers about how data should move and be consolidated.
Doc and Content Management
Andersen's consultants will help you outline the best way to plan, implement, and control various activities concerning the life cycle management of data or other valuable information found in any form or medium.
Reference and Master Data
Andersen will assist you with managing your company's shared data so that it meets and matches organizational goals. Our consulting goals are also to reduce the risk of redundancy, ensure higher quality, and diminish the costs of data integration.
Metadata
As a dependable consulting partner, we are fully prepared to make a contribution to effective planning, implementation, and control activities in order to enable access to high-quality, integrated metadata.
Data Quality and Architecture
Data Quality is about activities that apply quality management techniques to data in order to assure it meets the needs of data consumers. Data Architecture is about identifying the data needs of the enterprise, as well as designing and maintaining the master blueprints to meet these needs.
Our Data Audit processes for effective data life cycles
Andersen's specialists start with understanding your data landscape and needs.
Prerequisites to gather:
- Business objectives of the audit;
- Business Owners/processes involved;
- Key participant systems;
- Supporting infrastructure;
- Primary users.
Deliverables: Audit Objective Definition Document, Prerequisite Checklist.
Andersen's specialists start with understanding your data landscape and needs.
Prerequisites to gather:
- Business objectives of the audit;
- Business Owners/processes involved;
- Key participant systems;
- Supporting infrastructure;
- Primary users.
Deliverables: Audit Objective Definition Document, Prerequisite Checklist.
Then, we proceed with specifying project metrics.
Baseline metrics to collect:
- Data commit charges and rates;
- Data flow time windows;
- Data flow processes duration;
- Complete source-to-target data trip;
- Stats for systems/parts of most concern to audit objectives.
Deliverables: Base Data Flow Chart, Data Flow Timing Chart.
After that, our team addresses the issue of data sources.
Data sources operations:
- Assessing source data model documentation availability;
- Identifying source data security requirements;
- Assessing source data integration capabilities;
- Assessing source diversity and availability;
- Identifying external and internal data sources.
Deliverables: Source Assessment Report.
Now, it's time to assess how data should be obtained.
At this stage, we will:
- Identify data acquisition tools, techniques, and schemes;
- Identify data management and quality systems in place, if applicable;
- Evaluate data extraction, filtering, cleaning, and temporal synchronization practices;
- Evaluate data aggregation and final destination loading issues;
- Assess best practices to apply.
Deliverables: Data Acquisition Comprehensive Analysis Report.
Warehousing is the next phase of consulting.
Andersen’s consultants and auditors will:
- Identify needed DWH data models, evaluate how DWH implementation complies with them, assess functional DWH parts, and evaluate metadata handling, if applicable;
- Evaluate Data Quality and Data Governance solutions used and assess typical usage patterns;
- Evaluate whether data properties comply with the principles of warehousing and whether current models fit the objectives;
- Assess DWH security compliance issues and best practices.
Deliverables: Data Warehouse Model, Implementation & Security Comprehensive Report.
Data representation and usage issues are analyzed.
Andersen will undertake:
- The identification of components used, as well as the identification and assessment of main usage patterns;
- The identification and marking of existing performance bottlenecks;
- The identification and assessment of dataset preparation techniques and technologies used;
- The assessment of layer data availability, consistency, and security compliance.
Deliverables: Base Data Flow Chart, Data Flow Timing Chart.
This is the final stop before the resulting comprehensive report is submitted.
Andersen’s priorities here are to:
- Assess current solution platforms, technologies, and hardware (if applicable) used for storage and processing;
- Assess data loss prevention measures;
- Assess scalability potential and ease;
- Evaluate disaster recovery capabilities and risks, as well as mark existing and potential infrastructure bottlenecks;
- Assess best practices used.
Deliverables: Base Data Flow Chart, Data Flow Timing Chart.
Having accomplished all previous stages, we generate the final data report.
The eventual audit report covers:
- Audit Objective Definition Document, Prerequisite Checklist;
- Base Data Flow Chart, Data Flow Timing Chart;
- Source Assessment Report;
- Data Acquisition Comprehensive Analysis Report;
- Data Warehouse Model, Implementation and Security Comprehensive Report;
- Representation Layer and Storage and Infrastructure Analysis Report.
Also, we can advise on best practices tailored to the discovered problem areas, if any.
Our Data Consultancy projects
Explore the Data Consultancy initiatives Andersen's experts have implemented for our customers all over the world.
Testimonials
1/0
Get a free IT consultation
What happens next?
An expert contacts you after having analyzed your requirements;
If needed, we sign an NDA to ensure the highest privacy level;
We submit a comprehensive project proposal with estimates, timelines, CVs, etc.
Customers who trust us
