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# Data Analytics
**URL:** https://www.sigmoid.com/data-and-analytics-services/
Date: 2022-11-01
Author: indrajeet Desai
Post Type: page
Summary: Data and Analytics Services Bolster business with data and analytics culture to fuel innovation Home / Who we serve / Data and...Read More...
Featured Image: https://www.sigmoid.com/wp-content/uploads/2023/09/data-analytics-thumbnail-opt.jpg
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# Data and Analytics Services
Bolster business with data and analytics culture to fuel innovation
[Home](https://www.sigmoid.com/) / Who we serve / Data and Analytics Services
## Take the right approach to data analytics
Legacy systems, siloed data, and an unstructured approach to data analytics often fail to unlock the real value in your enterprise data. Sigmoid helps business leaders define a [data strategy](/data-strategy/) and deploy data engineering and data science models leveraging data analytics and technologies such as [generative AI](/generative-ai/), ML models, visualization tools and predictive analytics solutions to uncover previously hidden insights. Our advanced analytics services can [improve data quality](/data-quality-management/), speed up analytical processes, and identify the right problems for maximum business impact. Our data analytics consulting services will assist you with data management, [data governance](/ebooks-whitepapers/data-governance-with-cataloging/), monetization and compliance to transform your business performance.
## Build a data-first enterprise with insight-led processes
### Data CoE
- Data Management
Create repositories with [data warehouses](/events/cloud-data-warehouse/) and data lakes, or leverage data mesh as an approach to streamline data assets for maximum efficiency and accessibility.
- Data Integration
Integrate disparate data sources using expert data engineering services and techniques such as ETL, data replication, and Change Data Capture (CDC) for a cohesive understanding of the business landscape.
- Data Monetization
Leverage ML models, [DataOps](/data-devops/), and market insights to create data products that resonate with your target audience, fostering sustainable revenue growth.
### AI Consulting
- ML Engineering
Combine data science, data engineering, and dataops expertise to build custom [MLOps solutions](/machine-learning-operationalization-mlops/) that strengthens ML model lifecycle management and overcome model drift challenges.
- Analytics Roadmap
Define a [comprehensive data strategy](/data-strategy/), incorporating meticulous data management and governance principles to craft an actionable data analytics roadmap.
- Predictive Analytics
Deploy predictive models with advanced algorithms to anticipate customer behavior, optimize [inventory management](/supply-chain-analytics/), and improve sales forecasts.
### Cloud Transformation
- Cloud Transition
Seamless data integration during the [cloud data migration process](/cloud-migration/) to ensure a smooth transition, enhanced data accessibility, and improved scalability.
- Data Modernization
Transform legacy data systems and practices into agile and scalable solutions to ensure faster data processing, improved efficiency, and enhanced decision-making capabilities.
- Cloud Optimization
Advanced cloud monitoring to ensure heightened visibility in cloud resource utilization, facilitate cost reductions, and implement anomaly alerts for enhanced performance and scalability.
## Proven data and analytics services to drive business value across industries
### Consumer Goods
We empower enterprises to define analytics strategy, modernize data infrastructure, and integrate siloed sources. With CPG data analytics, we enable companies to optimize ROMI, improve demand forecasting accuracy, and save costs through inventory planning, leveraging our prebuilt accelerators and frameworks.
[Explore more](/industries/cpg-analytics/)
### Financial Services
Leverage data analytics in finance to enhance regulatory compliance, prevent fraud and mitigate risks. Our BFSI data experts help build robust data foundations and predictive ML models to monetize data and enhance customer experience while ensuring agility in responding to changing market requirements.
[Explore more](/industries/banking-financial-services/)
### Life Sciences
Our data analytics in life sciences empowers organizations to harness predictive analytics and centralized data platforms, driving efficiency and innovation. By eliminating data silos, optimizing clinical trial management, improving supply chain and streamlining regulatory compliance, we enable data driven decision-making across business functions to fuel innovation that propels your business forward.
[Explore more](/industries/life-sciences/)
### Industrials
Automate manufacturing operations by integrating data from siloed sources and IoT-enabled sensors to deliver near real-time insights. Our data analytics services for manufacturing maximize efficiency, improve quality, and reduce downtime, providing faster access to quality data and insights for manufacturing leaders.
[Explore more](/industries/industrials-manufacturing/)
### Media and AdTech
Enable AdTech and media companies to understand customer behavior, segment audiences effectively, optimize advertising campaign spends, and measure marketing ROI with precision. Our data analytics in marketing help brands leverage data-driven insights for impactful campaign strategies.
[Explore more](/industries/media-and-digital-advertising/)
## Our data analytics technology partners
We partner with the best tech providers to help you tackle your data analytics use cases and AI/ML problems with ease and expertise.
## Data analytics customer success stories
End-to-end Google cloud monitoring solution optimizes the infrastructure cost by 54% for a health and nutrition MNC
- 97% improvement in data query performance
- 54% reduction in cloud costs
- Enabled daily reporting to enhance visibility and flag anomalies
[Download PDF](/case-studies/cloud-cost-optimization/)
Centralized artificial intelligence deployment reduces time to scale ML models by 85% for leading CPG company
- 85% reduction in time to scale ML models
- 80% reduction in time to move models to production
- 2x reduction in the cost of running machine learning models
[Download PDF](/case-studies/centralized-ai-deployment-environment/)
Centralized data lake with automated data ingestion from 30+ sources to enable faster marketing analytics for a major F&B brand
- 50% faster data collection and enrichment
- 2.5x faster time to valuable insights for marketing team
- Automatically ingested data from 30+ sources
[Download PDF](/case-studies/centralized-data-lake-for-faster-analytics-and-reporting/)
## Insights and perspectives
Blog
#### [3 ways to enable an internal data monetization strategy](/blogs/3-ways-to-enable-an-internal-data-monetization-strategy/)
[Read blog](/blogs/3-ways-to-enable-an-internal-data-monetization-strategy/)
POV
#### [Data-driven revenue growth management](https://sigmoid-image.s3.amazonaws.com/wp-content/uploads/2022/06/16063915/Data-driven-Revenue-Growth-Management-for-CPGs.pdf)
[Download POV](https://sigmoid-image.s3.amazonaws.com/wp-content/uploads/2022/06/16063915/Data-driven-Revenue-Growth-Management-for-CPGs.pdf)
Whitepaper
#### [](/ebooks-whitepapers/how-to-build-a-data-analytics-team-for-digital-business/)[How to build a data analytics team for digital business](/ebooks-whitepapers/how-to-build-a-data-analytics-team-for-digital-business/)
[Download whitepaper](/ebooks-whitepapers/how-to-build-a-data-analytics-team-for-digital-business/)
Customer testimonials
Sigmoid’s data science and data engineering teams are exceptional in understanding data and provide custom innovative solutions that directly impact the business revenue.
## Michael Christian R. Collemiche
Head of Data and Analytics,
### Belcorp
Sigmoid has demonstrated strong technical expertise, agility, and a true partnership mindset throughout the project. The outcomes are driving greater efficiency, transparency, and enabling faster, data-driven decision-making across our operations in Latin America.
## Douglas Ishikawa
Supply Chain Director,
### PepsiCo
Sigmoid has been instrumental in transforming our logistics operations by providing actionable insights into our distribution network. Their expertise and deep understanding of our data have enabled us to identify key areas for improvement, streamline transportation routes, and enhance delivery reliability. With their data-driven approach, we’re better positioned to optimize costs and improve service across the UK market and beyond.
## Bruno Esmeraldo
Consumer Self-Care International Logistics Director,
### Perrigo
Sigmoid is our strategic data and analytics partner. Their expertise in complex large-scale data engineering is by far the best.
## Nikhil Jain
VP - Data Science and Data Management,
### US LBM
The Sigmoid team has consistently demonstrated exceptional performance across all evaluated areas. Communication has been clear, proactive, and professional, ensuring seamless collaboration throughout the project. The quality of deliverables often exceeded expectations, reflecting a deep understanding of requirements and technical excellence. Timeline management has been exemplary, with all milestones achieved within or ahead of schedule. Overall, the value delivered by the team is outstanding, reinforcing Sigmoid as a reliable and high-performing partner.
## Jonas Oliveira
Associate Director,
### Perrigo
Free data & analytics maturity assessment >>
Talk to our experts to get a free report on your organization’s data and analytics maturity.
[Book your session](/contact-us/)
## FAQs
Expand all
#### What are the typical challenges associated with legacy systems in terms of data and analytics adoption?
Legacy systems often present significant challenges in modern data analytics due to their lack of agility, compatibility, and integration capabilities. Businesses must employ a holistic approach to address these legacy data issues by devising migration strategies for modern platforms or cloud environments. We specialize in migrating, optimizing big data and analytics process and modernizing legacy systems while ensuring data continuity and facilitating advanced analytics adoption.
#### What is the role of data and analytics services in transforming business performance?
Efficient, secure, and strategic handling of organizational data assets can help optimize business performance. Data management involves processes for data acquisition, storage, integration, governance, and analysis using data analytics tools. Effective data management and analytics enhances data quality, accessibility, and reliability, enabling informed decision-making. It facilitates data-driven insights and supports critical business processes, such as customer relationship management, [supply chain optimization](/supply-chain-analytics/), and [risk mitigation](/risk-and-compliance/). A well-executed data management strategy empowers businesses to improve operational efficiency and drive overall business transformation.
#### What key aspects should be covered in data modernization initiatives?
Data modernization initiatives should encompass several key aspects. There should be a focus on migrating data to modern platforms, including cloud-based solutions, to enhance scalability and agility. Updating data storage and processing technologies is crucial for improved performance and efficiency. Implementing data orchestration and automation streamlines workflows. All [data modernization initiatives](/events/podcast/data-modernization-for-cpg/) should ensure data security and compliance regulations. Moreover, organizations should invest in data governance and metadata management for comprehensive data understanding.
#### Can you help us with data strategy development and data governance?
Absolutely, we specialize in data strategy development and data governance. Our expertise and data analytics service offerings includes formulating tailored data strategies aligned with business objectives. We assess your data landscape, identify opportunities, and create a roadmap for optimal data utilization. Regarding data governance, we establish robust data analytics frameworks encompassing data policies, access controls, and compliance measures. We also implement data stewardship practices to ensure data quality and integrity. The goal is to empower your organization to harness data effectively, make informed decisions, and [maintain data security](/blogs/how-a-modern-data-architecture-on-the-cloud-ensures-data-quality-and-security-for-banks/) and compliance.
Increase productivity by over 30% with DataOps!
Enjoy a smoother transition to the cloud and enable better digital transformation strategies with our proven DataOps services.
[Talk to our experts](/contact-us/)
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