#data migration to cloud

[cloudsfer]

Data migration to the cloud is a transformative process that offers numerous benefits to organizations, but it comes with inherent security challenges. Protecting sensitive information during migration requires a comprehensive approach that encompasses planning, secure tools, encryption, access controls, monitoring, and compliance management. By adopting best practices and leveraging secure cloud migration tools like Cloudsfer, organizations can successfully navigate the complexities of cloud data migration while safeguarding the confidentiality, integrity, and availability of their valuable information. As technology evolves, staying proactive in addressing data security concerns remains paramount to building and maintaining trust in the digital era.

[nordstarvisions]

Top 5 data management mistakes costing UAE businesses millions

Introduction

In an increasingly digital economy, poor data practices have become more than just an IT issue—they are an enterprise-level risk. 

Across the UAE, businesses are losing millions annually due to fragmented systems, inconsistent governance, and reactive strategies. 

In this article, we’ll unpack five critical data managementmistakes, their tangible costs, and what forward-thinking firms are doing to stay compliant, competitive, and data-resilient in 2025.

1. Fragmented Data Silos Across Departments

While decentralization may speed up local decision-making, it often comes at the cost of data cohesion. Sales, marketing, finance, and operations frequently maintain isolated datasets that never sync—each with its own metrics, definitions, and reporting cycles. The cost? Missed opportunities, duplicated efforts, inconsistent KPIs, and customer insights that are either delayed or distorted due to incompatible sources. Fix: Implement centralized data lakes or unified ERP/CRM systems to bridge these silos. Introduce cross-departmental governance protocols, and enforce scheduled data synchronization to maintain consistency across all business functions.

2. Weak Data Governance and Access Controls

Many UAE businesses still lack formal governance policies. There’s little clarity on who owns the data, who can access it, and how data quality is maintained across systems and touchpoints. The cost? Increased risk of data breaches, GDPR/DIFC non-compliance, unauthorized exposure of sensitive information, and eroded stakeholder trust—especially in sectors like healthcare, finance, and public services. Fix: Deploy a robust data governance framework with clearly defined roles, role-based access controls, automated audit trails, and regular compliance reviews. Embed accountability at every stage of data creation and usage.

3. Overreliance on Legacy Infrastructure

Outdated database architectures, manual Excel trackers, and siloed on-prem systems continue to dominate back-end processes—despite widespread digital front-ends. The cost? Performance bottlenecks during scale, limited real-time data visibility, high IT maintenance overheads, and an inability to integrate with modern analytics or automation tools. Fix: Migrate to cloud-native platforms that support elastic scaling, system redundancy, and embedded analytics. Incorporate APIs for seamless integration with existing digital tools while phasing out legacy dependencies.

4. Lack of Data Quality Assurance

Inconsistent formats, missing fields, outdated records, and duplicated entries remain common issues across enterprise datasets—especially when multiple input sources aren’t standardized.

The cost?

Flawed business reports, poor AI/ML model performance, customer experience setbacks, and incorrect decision-making based on unreliable data.

Fix:

Introduce end-to-end data quality frameworks that include automated validation checks, enrichment protocols, and AI-driven anomaly detection. 

Regular audits and cleansing routines should be part of standard operations.

5. Treating Data Strategy as a One-Off Project

Many businesses initiate data initiatives as one-time efforts—an implementation followed by months (or years) of stagnation. 

Without ongoing refinement, systems become outdated, and processes lose alignment with evolving business needs.

The cost?

Strategic misalignment, increasing technical debt, and declining ROI on digital investments that fail to evolve with the organization’s goals.

Fix:

Create a living data strategy—an adaptive roadmap reviewed quarterly, driven by key stakeholders across departments. 

Tie progress to measurable KPIs like operational efficiency, customer satisfaction, or revenue growth from data-led initiatives.

Turn Costly Data Chaos into Smart Business Decisions: Nordstar Vision

At Nordstar Vision, we help businesses move from fragmented systems to future-ready data ecosystems. 

Whether you’re struggling with outdated infrastructure, data silos, or lack of governance, our team brings tailored solutions to help you scale confidently in a data-first economy.

Let’s turn your data into a growth engine.

Reach out to us today at +(971) 50 1108756 or visit nordstartvision.

[ifitechsolu1pg2]

Leading Microsoft Solutions Partner in Gurgaon | IFI Techsolutions

IFI Techsolutions is Microsoft Solution partners in Gurgaon. Our Implementation expertise involves automation, migration, security, optimize and managed cloud.

[vbeyound]

Trading Cloud Cost Chaos for FinOps Clarity with Azure + Power BI

Managing cloud costs can feel like solving a puzzle blindfolded. With multiple subscriptions, unpredictable usage, and scattered data, finance and tech teams often find themselves overwhelmed. That’s where Azure FinOps combined with Power BI dashboards steps in, offering a sharp, clean view of cloud spending—so you can stop guessing and start deciding. 

What is Azure FinOps? 

Azure FinOps refers to the application of financial operations (FinOps) principles specifically within the Microsoft Azure ecosystem. It helps organizations make informed cloud cost decisions by combining financial accountability with real-time data insights. The goal? To align cloud investment with business goals—without surprises when the monthly invoice arrives. 

Power BI Dashboards: Your Visual CFO 

Power BI brings Azure FinOps to life by transforming raw numbers into rich, interactive visuals. These dashboards highlight: 

Spend by department or project 

Resource usage over time 

Forecasted vs actual budgets 

Idle or over-provisioned resources 

Finance, IT, and leadership teams can all view the same real-time data, but each through the lens most relevant to them. 

Why Clarity Beats Chaos Every Time

Without proper visibility, cloud bills can balloon quickly. Overprovisioned VMs, storage that's never deleted, or spikes from unmonitored services—all these contribute to cost leaks. Azure cost management tools with FinOps practices bring structure. When paired with Power BI, every cost center becomes transparent. 

Key Benefits at a Glance

Transparency: Know exactly where your money goes 

Control: Set alerts, caps, and budgets before overspending happens 

Accountability: Assign owners to cost centers for better governance 

Optimization: Identify underused resources and eliminate waste 

Collaboration: Tech, finance, and operations work off one source of truth 

Real-Life Impact with VBeyond Digital

VBeyond Digital helps enterprises cut through the noise and gain total clarity on cloud costs. Their approach integrates Azure FinOps practices with custom Power BI dashboards, tailored to each business unit’s goals and KPIs. The result is smarter decisions, faster actions, and better returns from your Azure investments.

Check out their blog post for more insights on how this works:   Trading Cloud Cost Chaos for FinOps Clarity with Azure + Power BI

Best Practices for Teams Adopting Azure FinOps

Set clear goals for cloud investment from day one 

Centralize billing using Azure Cost Management 

Regularly review dashboards—weekly or biweekly 

Train teams to understand what cost signals mean 

Use Power BI alerts for budget thresholds 

Final Thought

Cloud expenses shouldn't be a mystery. With Azure FinOps and Power BI, companies finally gain the clarity and control needed to make data-driven financial decisions. VBeyond Digital brings all this together, ensuring cloud costs support growth—not hinder it. 

FAQs

Q1. What is FinOps in Azure?  FinOps in Azure is a practice that brings financial accountability to cloud spending, using tools like Azure Cost Management and Power BI. 

Q2. How can Power BI help with cloud cost management?  Power BI creates visual dashboards from Azure data, making it easier to understand and manage cloud expenses in real time. 

Q3. Who should use Azure FinOps tools?  Finance teams, IT leaders, and project managers all benefit from using FinOps practices and dashboards to control budgets and optimize usage. 

Q4. What kind of data can be visualized in Power BI for Azure?  Costs by subscription, department, service type, usage trends, and more can be tracked through custom dashboards. 

Q5. Is this solution only for large enterprises?  Not at all. Mid-sized companies and startups with growing cloud usage can also benefit from the clarity Azure FinOps provides.

[astutebusiness]

Astute Business Solutions’s data center exit to Cloud services helps you migrate traditional and cloud-native workloads to OCI with speed and confidence. Optimize performance, cut costs and meet global compliance standards. Start your OCI journey today!

[next-pathway]

Migrate from Teradata to Snowflake – A Roadmap for Cloud-Ready Enterprises

If your enterprise is still running on Teradata, you may be missing out on the scalability and cost advantages of the cloud. The choice to migrate from Teradata to Snowflake is becoming standard among data-first organizations.

Snowflake’s architecture allows users to handle diverse data types, scale compute resources on demand, and reduce overall TCO. Transitioning from Teradata requires a clear roadmap—one that includes discovery, code translation, testing, and performance tuning.

Next Pathway has helped global enterprises navigate this journey with automation-led solutions designed to accelerate success.

📘 Get your migration plan: Migrate from Teradata to Snowflake » 🌐 Learn more about your cloud migration partner at Next Pathway

[priyapdfd]

Future of Generative AI and Cloud Migration for Business in 2025

The Future of Generative AI and Cloud Transformation: What Businesses Should Prepare for in 2025

As 2025 unfolds, businesses are facing a major turning point in how they operate, scale, and deliver value. Two dominant forces — Generative AI and cloud migration — are not only gaining traction but are becoming central to digital transformation strategies across industries.

In this blog, we explore how businesses can prepare for this future, adopt the right tools, and align with the fast-evolving landscape of AI-powered services and cloud-native operations.

Cloud Migration: The Bedrock of AI Integration

For companies looking to scale AI implementation and enable real-time data access, cloud migration is the foundational move. Enterprises can no longer rely on legacy systems if they want to unlock the potential of modern AI tools, especially generative models that require massive computing resources and integrated data lakes.

A well-planned cloud migration strategy for 2025 ensures smoother transitions, cost control, security compliance, and long-term scalability — all essential to harnessing next-gen AI.

Whether you're modernizing infrastructure or adopting a hybrid model, choosing the right strategy is critical to reducing downtime and maximizing ROI.

Generative AI: Not Just a Trend — A Business Imperative

Gone are the days when AI was merely a buzzword. Generative AI (GenAI) is redefining how businesses interact with data, customers, and internal operations. From intelligent chatbots and predictive analytics to automated content creation and design assistance — GenAI is transforming business functions across departments.

In fact, many forward-thinking companies are already integrating generative AI services to transform business operations. This includes automating customer support, enhancing data processing workflows, and enabling hyper-personalized customer experiences.

With low-code/no-code platforms and API-based access to large language models (LLMs), even non-tech businesses can embed GenAI into their workflows.

Industry-Wide Impact: From BFSI to Healthcare

The influence of GenAI is not limited to tech companies. Today, we're seeing AI use cases across retail, BFSI, manufacturing, logistics, and healthcare. From fraud detection in finance to personalized diagnostics in healthcare, the applications are vast and growing.

Explore how generative AI is reshaping global industries by offering agility, cost optimization, and intelligent automation at scale.

Companies that leverage AI not just for innovation but for operational efficiency are positioning themselves as future-ready leaders. AI, when fused with cloud technologies, acts as a multiplier for innovation.

Automating Document Processing with GenAI

Another emerging area of transformation is document processing and data extraction. Traditional OCR-based tools are now being replaced by GenAI-powered parsers that understand context, structure, and intent — reducing manual effort and errors.

For industries dealing with massive document flows (e.g., finance, insurance, legal), adopting solutions like GenAI parsing for document automation is proving to be a game-changer.

These systems can extract insights from invoices, contracts, forms, and more — allowing decision-makers to act faster and with greater accuracy.

Building a Future-Ready Tech Stack

To stay competitive in 2025 and beyond, organizations must:

Invest in AI-first cloud platforms

Develop cross-functional AI strategies aligned with business outcomes

Upskill teams for AI adoption and governance

Automate redundant tasks to focus on high-value innovation

Adopting GenAI and migrating to scalable cloud environments isn’t just about keeping up — it’s about leading.

Challenges and Considerations

Despite the advantages, businesses must also consider:

Data privacy and ethical AI use

Model hallucinations and trust issues in GenAI

Infrastructure cost management

Change management and employee training

A successful transformation requires a balanced roadmap that blends innovation with responsibility.

Final Thoughts

The convergence of cloud migration and generative AI represents a pivotal opportunity for businesses in 2025. Those who take early action — by modernizing infrastructure and integrating intelligent systems — will lead the next wave of digital transformation.

Whether you’re planning a phased cloud transition or exploring LLMs for your operations, the time to act is now.

Explore how experts like Hoonartek are enabling global businesses with AI-driven cloud solutions and enterprise-grade GenAI frameworks.

Website - https://hoonartek.com/

[datameticasols]

Datametica specializes in fast, efficient netezza to BigQuery migration as part of its broader cloud data migration services. Enterprises moving off IBM Netezza face challenges like fixed hardware dependencies, scalability limits, and high maintenance costs. Datametica addresses these hurdles by employing its automated Birds agent suite—particularly Raven for SQL/ETL conversion and Pelican for data validation. Raven converts complex SQL workloads and ETL processes from Netezza into cloud-native formats for Google BigQuery with speed and accuracy. Meanwhile, Pelican automates post-migration data validation, reconciling entire datasets at the cell level in parallel, reducing validation time by over 60% compared to manual methods. The result: a streamlined migration process that enables faster implementation, reduces risk, ensures integrity, and lowers total cost of ownership on Google Cloud. Datametica’s approach to cloud data migration makes transitioning legacy data warehouses to BigQuery seamless, scalable, and secure.

[teleglobalinternational]

Best Practices for Secure Data Migration to the Cloud

Migrating to the cloud isn’t just a technical upgrade, it’s a critical shift in how your organization handles, stores, and secures its most valuable data. While the benefits of cloud adoption are clear-scalability, flexibility, and reduced infrastructure costs-those advantages can be quickly undermined by poor security planning during migration.

Essential best practices for securing your data migration, ensuring a smooth and safe journey to the cloud.

1. Assess Your Existing Data

2. Encrypt Data During the Migration

3. Select a Reliable Cloud Provider

4. Implement Strict Access Controls

5. Back Up Your Data

6. Continuously Test Your Security

7. Ensure Compliance with Regulations

8. Post-Migration Security Measures

Securely migrating data to the cloud isn’t just about moving files, it’s about safeguarding your organization’s digital future. By following these best practices, from data classification and encryption to provider selection, access control, and post-migration vigilance, you can confidently embrace cloud adoption without compromising on security.

Read the Full Blog here@ https://teleglobals.com/blog/how-to-ensure-secure-data-migration-to-the-cloud

Cloud migration can be a transformative journey. With careful planning and strong security measures, your business can fully realize the benefits of the cloud while keeping sensitive data protected at every step.

[ameliakeli]

Future-Proof Cloud Data Governance Strategy for Businesses

https://www.cloudfuze.com/cloud-data-governance/

[cloudsfer]

Before delving into the tools that streamline cloud migration, it's crucial to grasp the concept itself. Cloud migration involves transferring data, applications, and other business elements from on-premises infrastructure to cloud-based platforms. This transition allows organizations to leverage the vast resources and capabilities offered by cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

[lisakeller22]

Multi-Cloud Migration: Key Steps, Benefits, Challenges, and Best Practices 

Check out the blog to know the benefits of a multi-cloud approach, along with a detailed roadmap, best practices, and how to overcome migration challenges effectively.

[10fingersolution]

In today’s fast-paced digital landscape, migrating to the cloud is not just a trend—it's a necessity. At 10Fingers, we specialize in cloud migration services that help businesses unlock flexibility, scalability, and cost-efficiency. Whether you're moving from on-premise infrastructure or shifting between cloud platforms, our team ensures a smooth and secure transition with minimal disruption to your operations.

We begin with a detailed assessment of your current infrastructure, followed by a customized migration strategy tailored to your business goals. Our services cover data migration, application rehosting, re-platforming, and optimization, ensuring performance and security at every step.

10Fingers serves a wide range of industries including healthcare, finance, telecom, engineering, and legal, ensuring data compliance and integrity throughout the migration process. Our expert team leverages the latest tools and cloud technologies (AWS, Azure, Google Cloud) to reduce risk, downtime, and cost.

Partner with 10Fingers to future-proof your business with a trusted cloud migration partner. Let us help you transform your digital infrastructure—faster, safer, and smarter.

Shift with confidence. Migrate with 10Fingers.

[iromtechnologies]

What Are Digital Transformation Consulting Services?

Almost every sector is experiencing significant shifts due to rapidly advancing technology. Consequently, digital transformation in India is no longer a future idea—it’s a current business need. As a result, organizations must respond with a clear vision, smart tools, and expert help. That’s where digital transformation consulting services come into the picture. These services, when guided by trusted firms like Irom Technologies, make this shift smooth, sustainable, and successful. This blog explores how these services work and why they’re essential for modern businesses.

Why Digital Transformation Consulting Services Matter

Business leaders often face pressure to modernize quickly. However, without expert support, transformation efforts often fail or stall. This is precisely why having a trusted digital consulting team is critical. They offer structured plans, use proven tools, and guide companies every step of the way. As a result, their approach simplifies complex changes and makes success more likely.

Strategy design

Consultants begin by aligning business goals with tech strategies. They identify what needs to change and how to implement it. Moreover, a well-crafted strategy creates the foundation for successful transformation. At our firm, consultants create actionable roadmaps with both immediate impact and long-term vision. Consequently, these plans ensure every part of the business moves together.

Process re‑engineering

Legacy processes are often outdated, slow, or costly. Thus, experts redesign workflows to remove waste and speed up delivery. They also improve communication between departments and customers. As a result, this leads to streamlined operations and better service quality. Every step is built to bring faster outcomes and better customer experiences.

[astutebusiness]

Accelerate your digital transformation with Astute Business Solutions’s data center exit to Oracle Cloud Infrastructure. Cut IT costs, simplify operations and scale effortlessly with expert-led OCI migration strategies. From compliance to performance gains, we help you get it right the first time.

[next-pathway]

Migrate from Teradata to Snowflake – Overcoming Legacy Data Challenges

Many enterprises are hitting performance and scalability limits with Teradata. This is leading CIOs and data leaders to migrate from Teradata to Snowflake—a platform designed for today’s data-driven demands.

Snowflake’s modern architecture enables data agility, cost efficiency, and native cloud integration. But moving complex workloads and ETL logic from Teradata can introduce risks if not managed properly.

Next Pathway offers the expertise and automation to de-risk the process, accelerate delivery, and ensure business continuity throughout the migration.

📎 Explore how to migrate from Teradata to Snowflake successfully » 🌐 See all migration services at Next Pathway