- Business case review
- Requirement elicitation
- Requirement prioritization
- Quality attribute workshop
- Architecture review
- Implementation review
- Artifact collection
Our clients Our clients
Design a future-proof data analytics strategy Benefits
Drive effective data monetization
Obtain the necessary tools to drive maximum value from your data. Optimize your internal processes, enable data-driven decisions, and turn insights into economic gains.
Build a strategy with scalability in mind
Design a clear, principle-driven roadmap for achieving both short-term and long-term data goals. We will ensure that your infrastructure can scale effectively to keep up with your business growth.
Optimize costs
Ensure that the most cost-effective technologies and services are used for extracting, storing, sharing, and analyzing data.
Uncover and address data risk
Mitigate existing and potential data risks by implementing a data strategy that raises predictability, classifies data, and establishes reliable protection controls.
Accelerate development processes
All required methodologies and tech stack are included in the data strategy design to ensure a faster and more efficient development process.
Conduct effective business planning
Design an outline of clear dependencies, roadmap, and estimates that will allow you to effectively plan for the future.
Automate and optimize analytics with AI
Our engineers will help you implement ML/AI models that automate analytics, reduce manual work, eliminate human error, and more.
Build an effective data strategy from the ground up
Design your data architecture in 3 steps How it works
01. Preparation
- Analyze your business goals and needs
- Research the technology landscape
- Prepare the initial list of industry-specific constraints and concerns
- Enhance the discovery phase with architecture-related activities
02. Deep Dive
- Analyze the critical functional requirements
- Analyze the constraints and concerns
- Work on Quality Attributes and Scenario Definition
- Prepare the initial architecture vision
03. Solution definition
- Create relevant architecture views
- Define the technology stack
- Create the DevOps and Operations vision
- Prepare the Work Breakdown Structure
- Estimate implementation efforts
- Finalize and document the Architecture vision
Obtain a clear implementation roadmap for your strategy
Assess and improve your existing data analytics strategy Our services
N-iX team of experts will perform a thorough audit of your existing data strategy.
We will locate possible drawbacks or shortcomings and outline a plan with suggested improvements and ways of implementing them.
What we do:
What you get:
- Assessment report
- Architectural drivers
- Architecture highlights
- Tradeoffs and risks
- Recommendations
- Migration architecture
- Improvement roadmap
How data strategy consulting with N-iX can help your business
Improve operational efficiency
Optimize supply chain, democratize accesses with a data management strategy, enable real-time streaming and analysis, and ensure better process visibility.
Acquire and retain more customers
IImplement smart recommendation and marketing trend forecasting systems, analyze purchase patterns, and enable contextual communication.
Boost data and equipment security
Set up reliable cybersecurity and fraud detection, and reduce equipment downtime with effective predictive maintenance.
How N-iX can help you design a winning data strategyWhy us
N-iX has a strong team of 200+ experienced data engineers with many successfully delivered projects.
Our engineers have a wide range of data expertise, including data migration strategy, Machine learning and AI implementation, big data strategy design, and more.
Many industry-leading companies and Fortune 500 enterprises from telecom, finance, healthcare, and other domains have already benefited from N-iX Data Analytics services.
We keep data protected by complying with established security standards such as ISO 27001:2013, ISO 9001:2015, GDPR, HIPAA, and PCI DSS.
Data strategy success stories Case studies
We partner with
More about our Data Engineering, AI, and Computer Vision expertise
Data Engineering & Analytics
AI, ML & GenAI
Computer Vision & NLP
Contact us
Drop a message to our team to see how we can help
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