Data Management Service

Embrace the power of data management services backed by the latest AI and ML-driven algorithms. Take the next step to maximize your business value.

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Why Become a Data-Driven Company?

You can spend years collecting your company's data, and it will take forever to process all that information. Or you can hire a team of experts and get well-structured datasets to propel your business forward in no time.

Work on 
Past Mistakes

Analyze historical data to spot patterns that intuition alone may not reveal. Financial reports, customer feedback, last year’s production metrics — this information helps you understand the what, when, and why of your past successes and failures.

Focus on
the Present

Gain insight into key business processes, follow today’s customer journey, and keep tabs on rivals. By analyzing operational data, you can easily identify bottlenecks, inefficiencies, and areas for improvement and take on-time action to minimize their impact.

Step into
the Future

Get ready to anticipate market changes, client preferences, and potential risks. With past and current data at your disposal, you’ll get more accurate forecasts, personalized customer experiences, and become proactive in strategic decision-making.

Standards We Meet on the Data Quality Journey

Observability

We enhance data quality through automated observation, minimizing manual intervention.

Sufficiency

We go above and beyond to ensure data completeness for you to make informed decisions.

Accuracy

Our business analysts and data science specialists follow strict standards to guarantee error-free data management.

Democratization

We foster a data-first culture, empowering users with easier access to information and building data literacy.

Agility

Our team uses the latest warehouse and delivery solutions to provide data whenever you need it.

Security

We harness the power of AI and ML to analyze big data and predict cyber threat anomalies and patterns.

Data Management Services We Master

Data Quality Management

See how simple it is to turn low‑quality data into organized datasets with no errors. Data profiling, cleansing, enrichment, quality assurance, business intelligence — these are the methods that enable our team to tackle all kinds of data quality problems.

Data Architecture

Shift from legacy and rigid architectures to agile and secure environments. Be it on-premises, cloud, or hybrid solutions, our knockout data architects will create a system that seamlessly adapts to your business growth.

Data Governance

Maintain complete control over information throughout its lifecycle. Whether you need assistance with data governance policies, metadata, or data management, our team has the right tools to deliver outstanding results.

Data Warehousing

Get centralized data from multiple sources and benefit from a unified view for better and faster decision-making. Our team is adept at processing big data and storing it as a warehouse, lake, or a mixture of both.

Data Integration

Leverage popular integration methods — Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) — to ensure efficient information flow between disparate data sources. Try data virtualization to access and manage multiple systems in real-time, bypassing the physical part of data replication.

Data Migration & Backup

Keep your data safe and sound with our migration and backup expertise. Our team ensures a smooth transition, minimizing potential disruptions and data loss. Not a single byte of information has ever gone missing thanks to our robust backup strategies.

Data Visualization

Let’s make charts and diagrams easy to read, even for non-technical minds. Our user-friendly dashboards with intuitive navigation and customizable features make it simple to manipulate and interact with data to identify valuable patterns and trends.

Data Security

Focus on your core business and leave data security to our team. With our defensive AI systems and risk management protocols, we can detect and eliminate any vulnerabilities that lure cybercriminals. Even when stored in the cloud, your sensitive data will be protected from unauthorized access.

Turn tons of cloud-dead data into a cloud-driven source of success.

Our Data Management Toolkit

We're constantly refining our tech stack to build powerful solutions that help you maximize data value and stay ahead of the competition.

Data Integration

Azure Data Factory Azure HDInsight
AWS Glue AWS Data Pipeline

Data Warehouse Solutions

Microsoft SQL Server Oracle PostgreSQL MySQL Google BigQuery Redis Aerospike Elastic Stack ClickHouse Vertica

Data Visualizations & Reports

Tableau Microsoft Power BI Apache Superset
Redash

Data Storage

MongoDB PostgreSQL MySQL MS SQL ClickHouse Amazon DynamoDB Vertica Google BigQuery Amazon Redshift Azure Data Lake Storage

Cloud Services

Amazon Web Services (AWS) Google Cloud (GCP) Microsoft Azure

Why Partner with Us

500+

knockout
specialists

200+

satisfied
customers

12+

years of niche
industry expertise

FAQ

What are data management services?

Companies are constantly accumulating data throughout their operation. DMS represent a set of solutions and practices that effectively help manage these massive data assets. They include data governance, integration, quality management, cleansing, migration, security, and analytics. By utilizing them, enterprises can boost operational efficiency, streamline development strategies, and reduce risks connected with data loss or breaches of regulatory compliance.

What are the 4 major types of data management?

It’s hard to pinpoint the most crucial forms of data management, but we can identify four that are prevalent in fast-growing businesses:

  1. Data integration: combines information from various sources and formats into a unified system, ensuring consistency and accuracy.
  2. Data quality consulting: aims to ensure data accuracy, completeness, and reliability by implementing processes and tools to detect and fix data quality issues.
  3. Data governance: develops policies and procedures for data management within an organization, including data quality, privacy, and security. It assures that data is managed in compliance with regulatory requirements and industry standards.
  4. Data storage: focuses on the secure management of data storage infrastructure, including databases, warehousing (DWH), and cloud solutions.
How is data used in consulting?

From a data management perspective, data is a key component of consulting. Our data quality consulting services include collecting, analyzing, and interpreting data to derive meaningful business insights. Using advanced data analytics tools powered by AI and ML, we help companies to:

  • Optimize business strategies;
  • Identify strengths;
  • Uncover growth opportunities;
  • Mitigate risks;
  • Predict industry trends.
What are data quality solutions?

These are services that help organizations effectively manage and maintain data quality. They typically involve data cleansing, profiling, enrichment, and governance to eliminate poor data quality such as errors, duplicates, outdated information, and focus on high-quality data and its value to company growth.

What is quality management consulting?

It’s a service that offers expert advice and guidance to businesses seeking to enhance the quality and efficiency of their data management systems.

What is a data quality framework?

It’s a set of guidelines that ensures effective data management service by implementing robust technologies and processes. Their combination guarantees data completeness, consistency, and reliability across disparate systems and applications.

Contacts

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Call us at +44 781 135 1374
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Thank you!

Thank you for contacting us!
We'll be in touch shortly.

Go back to the home page

Feel free to get in touch with us! Use this contact form for an ASAP response.

Call us at +44 781 135 1374
E-mail us at request@qulix.com