How to automate Google Ads reporting in Looker Studio
Master Google Ads to Looker Studio integration with 3 methods: Windsor.ai no-code, Google native, and Ads Scripts for developer-level control.| windsor.ai
Master Google Ads to Looker Studio integration with 3 methods: Windsor.ai no-code, Google native, and Ads Scripts for developer-level control.| windsor.ai
Evaluating alternative datasets has long been a slow, manual process — aligning coverage, testing metrics, and validating signals before you can act with confidence. Exabel’s new “Data Seekers” product changes that. Built for investment teams and data strategists, our Data… The post Introducing “Exabel for Data Seekers” – Productized Alternative Data Evaluation appeared first on Exabel.| Exabel
Big data is everywhere. Every day, your business generates massive amounts of information, from customer transactions and social media activity to IoT sensor readings and operational logs. On paper, this data is a goldmine of insights. In reality, many organizations struggle to turn it into meaningful business value. Big data promises better insights, data-driven decision […] The post How Big Data Consultants Can Solve Biggest Enterprise Challenges appeared first on Softude.| Softude
Discover why manual marketing reporting fails and learn how to fix five common mistakes to make your reports accurate, consistent, and reliable.| windsor.ai
Discover how combining Databricks Lakehouse with Agentic AI transforms pharmacovigilance by enabling real-time ADR detection, automated evidence collection, and regulatory compliance, ultimately improving patient safety and operational efficiency.| Perficient Blogs
Learn how to automatically sync Facebook Ads with Looker Studio using Windsor.ai connector, or explore manual and developer setup options.| windsor.ai
Imagine this: You ask your company’s AI a simple question and it answers with absolute confidence. But what if that answer is wrong, outdated, or completely irrelevant? In business, where every decision can have financial or reputational consequences, this isn’t just inconvenient. It’s dangerous. One of the biggest concerns holding companies back from using Generative […]| SEEBURGER Blog
In 2025, marketing is a high-stakes game that is fueled by data. As customer journeys run across several channels (Google Ads, Meta, LinkedIn, TikTok, and so on), relying on siloed platform analytics leaves you with fragmented insights, inconsistent metrics, and compliance risks. Creating separate dashboards for every channel is time-consuming, error-prone, and slows decision-making. The… Read More »Building a Modern Marketing Data Stack in 2025 with ELT, BigQuery & Looker Studio The po...| windsor.ai
Modern data teams today expect faster access to insights, reliable data flows, and zero downtime in their analytics pipelines. And to meet these increasing demands, you need faster data pipeline development cycles. But releasing can take a long time, particularly if your building, testing, and deployment processes are manual. Plus, you also have to set… Read More »Why Integrate CI/CD for End-to-End Data Pipeline Automation The post Why Integrate CI/CD for End-to-End Data Pipeline Automati...| windsor.ai
Getting the granularity of your data just right means picking the level of detail that actually makes sense for your analysis. Simple enough, but that’s only half the battle. Because if the data itself is incomplete or “sampled,” even the sharpest, most finely tuned report can end up leading you astray. This guide takes you… Read More »Marketing Analytics Done Right: Data Granularity and Sampling Tips with Windsor.ai The post Marketing Analytics Done Right: Data Granularity and Samp...| windsor.ai
BigQuery workloads become complex as datasets and transformations scale. Manually running pipelines slows things down and increases the chance of errors. Automating BigQuery pipelines eliminates manual triggers and mistakes, making workflows consistent, dependable, and cost-efficient. With BigQuery pipeline automation, tasks can run in parallel across datasets and regions, allowing for more efficient processing. Jobs adjust… Read More »How to Automate BigQuery Pipelines: Methods & Step...| windsor.ai
Data teams still spend far too much time on preparation rather than generating insights. According to Forrester, analysts devote nearly 70% of their time preparing external data rather than analyzing it. You can imagine how that slows down insights and blows resources. But wrangling and ingesting data doesn’t have to cover a major part of… Read More »Modern Data Stack Explained: Architecture & Must-Have Tools The post Modern Data Stack Explained: Architecture & Must-Have Tools appeare...| windsor.ai
There are hundreds of sources of marketing data, including ad platforms that track impressions and spend, CRM systems that store lead activity, analytics tools that log website or app events, and various other apps with unique APIs. Each system tells part of the story, but the whole picture can be created only when you connect… Read More »ETL/ELT for Marketing Data: Best Practices and Tech Stack The post ETL/ELT for Marketing Data: Best Practices and Tech Stack appeared first on windsor.ai.| windsor.ai
Data pipelines and the broader data stack topic can be complex and overwhelming. Knowing clear, concise explanations of key terms ensures everyone, from analysts and engineers to marketing teams and clients, stays on the same page. A well-defined data pipeline glossary is more than just a reference: it’s an educational framework that reduces misunderstandings, speeds… Read More »Data Pipeline Glossary: 40+ Terms Data Teams Must Know The post Data Pipeline Glossary: 40+ Terms Data Teams ...| windsor.ai
Is your company relying on multiple SaaS solutions to enhance business productivity? Then, most likely, you’ve faced a challenge of data fragmentation. According to the IBM Data Differentiator, 82% of enterprises report that data silos disrupt their critical workflows, and 68% of enterprise data remains unanalyzed. All these problems occur due to fragmented data. And… Read More »Why Fragmented Marketing Data Is Killing Performance and How to Fix It The post Why Fragmented Marketing Da...| windsor.ai
Raw Salesforce data can be messy and difficult to work with. Data silos and time-consuming manual reporting often prevent teams from building a clear view of their Salesforce campaign performance. With the combined power of Windsor.ai, dbt, and BigQuery, you can free your team from hours of cleaning and joining data, so they can focus… Read More »dbt + BigQuery for Salesforce: Build a Complete Campaign Funnel Analytics Layer (Free Package) The post dbt + BigQuery for Salesforce: Build a...| windsor.ai
ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) are the key elements of modern data workflows, moving raw data from multiple sources into warehouses or other destinations. Previously, data pipelines required engineers and custom SQL, slowing and complicating the process. No-code ELT/ETL tools like Windsor.ai change the game by letting teams build complex data… Read More »No-code ELT/ETL: 10X Faster Data Pipelines with Windsor.ai The post No-code ELT/ETL: 10X Faster Data ...| windsor.ai
BigQuery handles massive datasets efficiently and quickly. But speed isn’t everything. You still need an ELT tool that moves, shapes, and loads data without slowing things down. In 2025, the stakes are higher. Businesses deal with an increasing number of data sources, lower latency, and stricter compliance requirements. The right ELT tool, meaning Extract, Load,… Read More »Top ELT Tools for BigQuery in 2025: Features, Pricing, Use Cases The post Top ELT Tools for BigQuery in 2025: Feat...| windsor.ai
Every transaction, customer interaction, and system update contributes to the constant surge of enterprise data. Businesses now deal with petabytes of information streaming in from applications, devices, and platforms. In theory, this gives leaders unprecedented visibility. In reality, that data is often fragmented, stuck in silos, or inconsistent across systems, which makes it difficult to… Read More »The Future of Data Integration: How AI Will Transform This Area The post The Future of ...| windsor.ai
Traditional backup methods can hardly keep up with today’s cloud-native workloads, where countless syncs and transformations happen across platforms. That’s exactly what we’ll cover in this post: the real-world challenges of cloud data recovery and the best practices to mitigate them. Read on to learn how to build a robust data recovery strategy that won’t… Read More »How to Design Recovery-Ready Cloud Data Pipelines (Before It’s Too Late) The post How to Design Recovery-Ready C...| windsor.ai
Raw Facebook Ads data in BigQuery is messy. Table structures differ between campaigns. Metric definitions often change over time. This makes consistent reporting difficult. Analysts often rework SQL just to get CTR (click-through rate), ROAS (return on ad spend), or CPC (cost per click) right. Inconsistent models force marketing teams to work with dashboards that… Read More »How to Build a Clean Facebook Ads Reporting Layer in BigQuery with dbt (Free Package) The post How to Build a Clean...| windsor.ai
Selecting the right data warehouse architecture is crucial for how efficiently your organization can store, access, and analyze data. Today, businesses typically choose from three core models: Cloud data warehouses On-premise (on-site) solutions Hybrid architectures Cloud data warehouses are the most modern and rapidly adopted option, thanks to their scalability, lower upfront cost, and ease… Read More »Cloud vs On-Prem vs Hybrid: Comparing Data Warehouse Architectures The post Cloud vs O...| windsor.ai
If you work with cross-channel data, from marketing and sales to finance and product, centralizing everything in one place is crucial for accurate insights and business success. Google BigQuery is a great choice for data centralization; it’s fast, serverless, and handles massive datasets with ease without the hassle of infrastructure maintenance. But here’s the challenge:… Read More »How to Build an ELT Pipeline into BigQuery: Top Methods and Tips The post How to Build an ELT Pipeline...| windsor.ai
The importance of data integration in enhancing business intelligence is best captured by how big it has grown over the years. Based on a recent survey, the data integration market size is projected to hit 22.1 billion by 2027. This is huge. It shows that data integration is a game-changer as far as business intelligence… Read More »How Data Integration Enhances Business Intelligence The post How Data Integration Enhances Business Intelligence appeared first on windsor.ai.| windsor.ai
When evaluating ELT (Extract, Load, Transform) tools, the core priorities often come down to reliable data pipelines, fast setup, and extensive scalability. Depending on your business size and goals—whether you’re a non-technical marketing team or an enterprise-level data operation—choosing the right platform can significantly impact your workflow. In this article, we compare two well-regarded options:… Read More »Windsor.ai vs Fivetran: In-Depth Comparison of Top ELT Platforms The ...| windsor.ai
Generating human-like voices using prompts has gained immense traction in recent years. With a staggering market size valuation of $3.29 billion in 2025, AI voice cloning is no longer an undervalued concept. Just like other AI-powered technologies, it also relies on deep learning algorithms. Owing to this, efficient data management lays the cornerstone for voice… Read More »How Voice Cloning Relies on Effective Data Management Behind the Scenes The post How Voice Cloning Relies on Effecti...| windsor.ai
Every click, scroll, and search your customer makes adds to a never-ending flow of business data. Every day, people generate 2.5 quintillion bytes of data. In theory, it gives business owners and analysts more visibility than ever. However, here also lies a problem. That data is scattered across dozens of platforms, and sometimes it’s very… Read More »Top 7 Data Integration Challenges and How to Deal with Them The post Top 7 Data Integration Challenges and How to Deal with Them appeared...| windsor.ai
Most modern tech stacks involve multiple data sources — campaign data, CRM records, web events, spreadsheets, and more. To make sense of it all, you need to aggregate and analyze the data in one place. That’s where ELT (Extract, Load, Transform) pipelines come in, letting you pull in the raw data first, then clean it… Read More »Top ELT Tools in 2025 for Agencies, Analysts & Data Engineers The post Top ELT Tools in 2025 for Agencies, Analysts & Data Engineers appeared first on windsor...| windsor.ai
Metadata is one of the most crucial components in today’s time, especially for data management and analytics. Proper metadata management can help businesses get critical content and ensure that it is used efficiently. However, numerous companies today are struggling with the implementation of metadata management because of a lack of strategic importance. A study by… Read More »Metadata Management Best Practices for Data Teams The post Metadata Management Best Practices for Data Teams ap...| windsor.ai
Data is everywhere, and yet many still struggle to use it effectively. At the same time, 73% of business leaders believe that integrated data reduces uncertainty and leads to better decisions. But here’s the catch: getting your data in one place, clean and usable, is often where things fall apart. That’s where ETL (Extract, Transform,… Read More »ETL vs ELT Pipelines: Choosing the Right Data Integration Strategy The post ETL vs ELT Pipelines: Choosing the Right Data Integration Strate...| windsor.ai
Have you ever struggled to unify data from multiple channels or extract deeper insights from raw datasets? You’re not alone—many marketing analysts and data engineers face the same challenge. The good news is that you can use Google BigQuery to significantly simplify this process. As a fully managed, serverless data warehouse, it lets you connect… Read More »What Is BigQuery? The Ultimate Guide for Marketing Analysts and Data Engineers The post What Is BigQuery? The Ultimate Guide for...| windsor.ai
These days, companies generate over 328 million terabytes of data daily. That’s a massive amount — and managing, shaping, and making value of that data is essential if you want accurate reports, always up-to-date insights, and effective data-driven decisions. That’s where ELT (Extract, Load, Transform) pipelines come in. ELT is a data integration method where… Read More »What’s an ELT Data Pipeline? Benefits, Challenges, and Automation The post What’s an ELT Data Pipeline? Benef...| windsor.ai
Today, the most successful companies are powered by data. Businesses use customer data to understand what their customers need and create products and services that can meet those customer expectations. They also need customer data to run targeted ads. Ad platforms also provide rich performance data that can be used for decision-making. You also have… Read More »How to Excel in Master Data Management: Best Practices and Examples The post How to Excel in Master Data Management: Best Practi...| windsor.ai
Is your data scattered all over the place, coming from different sources and getting lost in various silos across your organization? If yes, then you might better understand how tough managing data is without pipeline orchestration, and if not, you should definitely know what this process is. But if you feel like you’re the only… Read More »What Is Data Pipeline Orchestration and Why Does It Matter for Developers? The post What Is Data Pipeline Orchestration and Why Does It Matter for...| windsor.ai
If you’re running Facebook advertising campaigns, accurately evaluating their performance is essential. Since Meta’s built-in tools can be limited, many turn to external solutions for deeper insights to better optimize campaigns and ad spend. That’s where Google BigQuery comes into play. BigQuery is a powerful data warehouse that streamlines the storage and analysis of large… Read More »How to Integrate Facebook Ads into BigQuery: Top 3 Methods The post How to Integrate Facebook Ads...| windsor.ai
Salesforce provides a wealth of information regarding your business’s sales, marketing, and customer support activities. However, you might find its native analytics somewhat limiting, especially when it comes to custom formulas or predictive capabilities. Therefore, if you want to extract deeper insights, pairing Salesforce with a more powerful analytics platform, such as BigQuery, can be… Read More »How to Send Salesforce Data to BigQuery: Top Methods and Tips The post How to Send S...| windsor.ai
Do you think that collecting customer data is like striking oil—limitless riches with every click? That can be true until the regulatory equivalent of the EPA shows up wielding billion-dollar fines. From Europe’s GDPR to California’s CCPA (and new copycat laws emerging faster than TikTok trends), the privacy landscape continues to tighten its grip on… Read More »GDPR, CCPA, and Beyond: Staying Compliant in a Data-Driven World The post GDPR, CCPA, and Beyond: Staying Compliant in a...| windsor.ai
Shopify’s built-in analytics make it easy to manage your online store by tracking sales trends, customer behavior, product performance, and order data. However, when it comes to large-scale reporting or deeper business intelligence, its native capabilities often fall short. That’s where Google BigQuery comes in—a powerful cloud data warehouse designed to handle large datasets with… Read More »How to Integrate Shopify Data into BigQuery: Top Methods and Pro Tips The post How to Integ...| windsor.ai
Pulling campaign and customer data from HubSpot via its APIs or built-in tools can work well for basic reporting, but when it comes to large-scale, advanced analytics, HubSpot’s native capabilities often fall short. This is where Google BigQuery comes in: a fully managed data warehouse that handles massive datasets, enables scalable querying, provides deep insights… Read More »How to Integrate HubSpot Data into BigQuery: Top Methods and Best Practices The post How to Integrate HubSpot D...| windsor.ai
One of the reasons Facebook is such a popular and successful marketing platform is the fact that it provides detailed insight that allows marketers to scale and optimize their campaigns with ease. Having fresh Meta Ads (Facebook Ads) in Power BI is very useful. Especially in case, you are investing heavily in Facebook and Power… Read More »How Connect Facebook Ads to Power BI: Ultimate Guide 2025 The post How Connect Facebook Ads to Power BI: Ultimate Guide 2025 appeared first on windsor.ai.| windsor.ai
Data blending is a significant reason analysts choose Looker Studio, But what is data blending? The feature enables analysts to combine data from multiple sources when creating Looker Studio reports. While Looker Studio simplifies the creation of data blends, it has some limitations, which we will discuss herein. We will also show you how to… Read More »Data Blending in Looker Studio: How to Blend Data, Benefits, and Overcoming Limitations The post Data Blending in Looker Studio: How to B...| windsor.ai
Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger - SiliconANGLE| SiliconANGLE
France’s Loi de Finances 2024 reforms are reshaping corporate compliance – get your data ready today.| Semarchy
Extract, Load, Transform (ELT) is a modern approach that addresses data challenges with the power and scalability of cloud-native technologies.| Semarchy
Explore key methods, benefits, and common challenges of data integration to help you build a better data strategy.| Semarchy
Discover the importance of data integration in the healthcare sector, common challenges, best practices, and use cases for better patient and business outcomes.| Semarchy
Automated data integration streamlines data from multiple sources, improving quality and speed, which enables smarter, faster business decisions.| Semarchy
Investing in data validation is therefore crucial for making informed decisions, improving efficiency, building trust, and complying with regulations.| Semarchy
Data matching is the process of identifying and linking records that refer to the same real-world entity across different data sources. Learn more here.| Semarchy
Reading Time: 4minutesImagine you’re a financial analyst at a pension fund, racing against the clock to deliver a major corporate client’s portfolio breakdown before fiscal year end. You’re juggling CRM data, financial market reports, and a tangle of Excel exports. Or picture... The post Beyond the Lakehouse: Denodo’s RAG-Driven Data Revolution appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.| Data Management Blog – Data Integration and Modern Data Management Articles...
This is the moment enterprises will realize just how outdated their integration strategies truly are.| ITOps Times
Master data governance made simple. Learn how to manage complex data, improve quality, and streamline processes for your business success.| HatchWorks AI
Learn the key differences between data governance vs data management, how they align, and best practices to improve your data strategy.| HatchWorks AI
An Intelly Brain Candy Update When we last covered SnapLogic, the discussion was all about their easy to use integration platform. When we spoke with [...]| intellyx.com
Optimize your CustomGPT.ai chatbot effectively with our guide on integrating comprehensive sitemaps.| CustomGPT
I love snowboarding: I’ve been doing it for the last 25 years.| SAS Users
Legal business leaders reflect on approaches to enterprise risk management and strategic management of data as an investment asset| Briefing
Big data + marketing = endless opportunities. In this post, we discuss big data for beginners and discover how big data can improve your marketing strategy| blog.hurree.co
Centerprise 8 uses bearer-token authentication and role-based access control to offer administrators greater control over the data management process.| Astera
What is data integrity? Why is it important? From the process of ensuring data integrity to the 6 pillars of data quality, we answer your burning data questions.| blog.hurree.co
Break down knowledge silos and revolutionize your enterprise search with ChatGPT. Data integration from multiple sources and get instant ChatGPT responses.| CustomGPT
In a recent podcast episode on We Are, Marketing Happy, Hedy & Hopp CEO Jenny Bristow connects with Suzie Schmitt, Senior Digital Producer, to explore strategies for integrating data within marketing dashboards. Drawing on conversations on privacy and analytics from recent industry conferences, they share a unique solution that enhances data reporting while remaining fully The post Creative Data Integration Tips appeared first on iHealthSpot.| iHealthSpot
Data migration facilitates data transfer by transforming, validating, and loading data into the desired system. Learn more here.| Astera
ELT is the modern data integration approach that transforms that after it is loaded into the destination. Here's all you need to know!| Astera
Data integration is the continuous process of combining data from disparate sources into a unified view. Learn more about integrating data here.| Astera
Data integration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly dat…| Data Management Blog - Data Integration and Modern Data Management Articles, ...
Today’s marketing agencies face the dual challenges of integrating artificial intelligence (AI) and managing vast amounts of data across siloed| Modern Marketing Today
Generative artificial intelligence (Generative AI) represents a transformative leap forward in AI, offering businesses unprecedented opportunities to innovate, optimize, and engage. This cutting-ed…| Data Management Blog - Data Integration and Modern Data Management Articles, ...
With most technological advancements, big data has benefits and challenges for companies. Discover the pros and cons and the tools to manage big data| blog.hurree.co
Top MuleSoft alternatives include 1. DCKAP Integrator 2. Dell Boomi AtomSphere Platform 3. Jitterbit Harmony 4. IBM App Connect 5. Snaplogic| DCKAP
1. Integrate.io 2. DCKAP Integrator 3. Talend Cloud Integration 4. SnapLogic Intelligent Integration Platform 5. Exalate 6. Workato| DCKAP
Overview Hey there – we’re diving into an exciting walkthrough of how to integrate Sigma Computing (“Sigma”), a business intelligence (BI) tool, with Mozart Data, our end-to-end modern data infrastructure platform. Sigma is a preferred BI partner of Mozart Data, and we are excited to show you how the two fantastic tools can work […] The post Using Sigma with Mozart Data first appeared on Mozart Data.| Mozart Data
The solution is to create a well-planned, strategic migration strategy that guarantees the transfer of all data sets from current systems to the target system or systems without any loss or damage.| Zeka Design
Combine Mozart Data and Braze to for a scalable solution to segment and target customers with highly customized messaging. The post How We Used Mozart Data and Braze to Boost Customer Engagement at Tempo first appeared on Mozart Data.| Mozart Data
