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Top 15 Data Warehousing Companies in Manufacturing – Features & Services

A data warehouse is a central repository that helps streamline and automate workflow in an enterprise and make data-driven decisions in real-time. Here, we’ll read about the top 15 data warehousing companies in manufacturing industry and the range of services and other features they provide. Data is the core of any business. Manufacturing enterprises have tons of data about vendors, raw materials, production, suppliers, distributors, end users, etc. Storing this data in independent silos can be cumbersome and result in duplication. A data warehouse is a comprehensive solution to streamline manufacturing data and help implement the data-driven decision-making model.  According to The Business Research Company, the data warehousing market was $33.76 billion in 2024 and is expected to reach $37.73 billion in 2025 at a CAGR (compound annual growth rate) of 11.7%. It is projected to reach $69.64 billion by 2029 at a CAGR of 16.6%.  Whether you want to invest in a data warehouse as a service (DWaaS) or build an on-premise repository for data warehousing, it is recommended to partner with a reliable and reputed service provider. Data warehousing is not limited to setting up a central database. It is a complex process of identifying data sources, cleaning, sorting, and formatting the data, storing it in a central repository, and creating third-party integration with data analytical tools to provide real-time insights to end users. Check out the blog to find out the best data warehousing companies in manufacturing that offer tailored solutions to streamline your processes and deliver the expected outcomes. 15 Top Data Warehousing Companies in Manufacturing DataToBiz DataToBiz is among the leading data warehousing companies in manufacturing and several other industries with a global client base. It is an award-winning artificial intelligence and business intelligence company with ISO and SOC 2 certifications. Be it real-time manufacturing analytics or OEE analytics, the company knows how to provide tailored solutions that align with the client’s requirements. The company is also a certified partner of Microsoft (Gold), AWS, and Google. This expertise makes it a reliable partner for cloud data warehousing or DWaaS. It empowers manufacturers to eliminate outdated data silos and replace them with a flexible and scalable central repository on a cloud server. DataToBiz creates streamlined workflows to automate data collection, cleaning, and analytics. The teams build customized data visualization dashboards for enterprises to use graphical reports for proactive decision-making. It helps unlock the true potential of the business through transparent and cost-effective end-to-end data warehousing services.  IBM IBM is a global IT and AI company offering data warehousing services to clients from around the world. It provides scalable and high-quality solutions to manage enterprise data and derive actionable insights in real-time. The company uses AI and ML tools to set up a data warehouse with several third-party integrations. It offers cloud-native Db2 and Netezza data warehouse technologies designed by the company’s experts to manage, store, and analyze diverse datasets. Manufacturers can decide the cloud platform they want to use for hosting the system. IBM works with large enterprises to help them become more agile and flexible. From optimizing the production cycle to enhancing cybersecurity and improving customer experience, the company supports the manufacturer in several ways.  Amazon Redshift Amazon Redshift is a part of AWS (Amazon Web Services) offered by the tech giant. It provides seamless data storage and analytics through a data warehouse as a service solution for SMBs and large enterprises. The data warehousing platform can be integrated with other apps in the AWS ecosystem or third-party tools by independent vendors. The company offers a specialist to work with each client and set up the necessary connections. Redshift can be integrated with data lakes to derive actionable insights using SQL tools and accelerate decision-making. The company also helps enterprises monetize their business data to increase revenue sources. Amazon offers industry-specific solutions for each client to maximize results, optimize the use of resources, and mitigate risks. It is a great choice for businesses that want to use AWS for managing all business processes.  Cloudera Cloudera is one of the leading data warehousing companies in manufacturing and other sectors. It has clients from various parts of the world and simplifies analytics to make them accessible to every employee in the enterprise. The company’s data warehouse provides cloud-native solutions and self-servicing analytics to quickly derive meaningful insights in real-time, and that too for cost-effective prices. The solution is integrated with third-party apps and AI tools to create a consistent framework for managing workflows. Cloudera also takes care of data security and governance to prevent unauthorized access and creates guidelines for businesses to manage their systems. The company promotes smart manufacturing through intelligent systems. From setting up IoT connections to building resilient supply chains, the company knows how to assist the manufacturer at every step.  Yellowbrick Data  Yellowbrick is an SQL data platform and an enterprise data warehouse provider in the market. The company’s robust platforms are designed to handle the workload of growing enterprises. Its solutions for data warehousing in manufacturing are secure, efficient, and scalable. Moreover, the system can be built on minimal infrastructure to reduce management costs for the enterprise. The platforms can be run on public, private, and hybrid clouds and are powered by cloud-native Kubernetes architecture. By using advanced artificial intelligence tools, the team of experts makes the data warehousing setup more scalable, agile, and user-friendly. Yellowbrick’s enterprise data warehouse comes with reliable ecosystem support and works anywhere (cloud and on-premises). The company also consolidates databases from different vendors to create a central data warehouse with greater efficiency.  Informatica Informatica is an AI and data engineering company for clients from various industries, including manufacturing. It offers custom solutions for data warehousing in the production line to ingest, integrate, and clean the manufacturing data and derive insights in real-time. The company reduces the complexity of using different applications by creating a unified interface on a single platform. Its AI-powered low-code and no-code applications can be used by employees to access tailored reports and make

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Top 10 Reasons to Prioritize Data Warehousing Services

Data warehousing is like building an organized library for datasets in your organization. It integrates data from various sources, improves data quality, and makes it easy to analyze and make smart decisions upon it. Investing in data warehousing services ensures you can make well-informed decisions that keep you ahead of the competition. As decision-making moves towards relying on data and analytics, the demand for data solutions has increased. Incidentally, 31% of respondents are eager to quickly scale up their analytics spend to support more users and handle bigger data. Additionally, 28% are aiming to focus on improvement in the infrastructure which would support the cloud, on-premise as well and regional computing. But how can you efficiently handle petabytes of data? The answer is the data warehouse.  Data warehouses are a kind of central repositories designed for storing and processing huge quantities of information from various segments of an organization. When approaching the question of investing money in data warehousing services, you should be acquainted with what gets you the maximal profit. In this blog, let’s try to break down what is important to know but might be too obvious to think of when getting started with data warehousing services. But first, let’s start with the basics. What is a Data Warehouse? A data warehouse, often called an enterprise data warehouse (EDW), is a central system where businesses keep important information like customer and sales data. This information is stored for analysis and reporting. Data warehouses are essential for generating insights and supporting decision-making through business intelligence (BI). They typically hold both current and historical data that has been collected, transformed, and loaded (ETL) from various sources, including internal and external databases.  Essentially, a data warehouse serves as a business’s single source of truth (SSOT) by consolidating data into a stable, standardized system that relevant employees can easily access. These systems are designed for online analytical processing (OLAP) and enable fast, efficient analysis of data from multiple angles. Data warehouses can store vast amounts of summarized data, sometimes reaching several petabytes. Why Should You Have a Data Warehouse? The main benefit of a data warehouse is that it brings together data from various sources into a unified format. This consistency ensures that the data is accurate, leading to well-informed decisions. When data is standardized across the business, every department can generate consistent and reliable results. Traditionally, data warehouses were located on servers within a company’s premises (on-premise). However, nowadays, many data warehouses have moved to the cloud, where they can store and analyze vast data sets. Some popular cloud-based data warehousing platforms include: Data warehousing services often serve as a single, reliable source of truth for businesses, centralizing big data in a secure, stable, and standardized system that’s accessible to the right teams and employees. Reasons To Invest in Data Warehousing Services It is important for an organization that requires information in real time to make the right decisions to use a data warehouse. Still, these reasons can help you determine whether, in your case, data warehousing services are worth the investment. 1. Unlock Data-Driven Potential Decisions are no longer hove on guesswork or instinct – at least they shouldn’t be. Indeed the modern-day leader has the great fortune of having a basis for decision making informed by current data and this is made possible through a data warehouse. For information power to be realized optimally, there must be a loss of data ownership where one department usually owns most of the data. A data warehouse can rectify this scenario, and those in need of some specific details do not need to go through all sorts of hoops or even other departments. When it is set up as a single source organizing all other material, data warehousing services ensure that information seekers are well-equipped to find what they require and use it decisively to chart the destiny of the organization. 2. Harness the Power of Automation Data warehousing services open up opportunities for businesses to explore automation. Automating different parts of operations is gaining traction, especially as people see how it can help avoid costly errors and speed up processes. Market studies suggest that the global industrial automation market could reach $265 billion by 2025, a significant jump from $175 billion in 2020. Data warehouses play a crucial role in supporting these automation efforts. Businesses can use software-driven workflows to automate tasks like data access and transfer, reducing the time needed to gather information for auditors, investors, or other stakeholders. Automation can also speed up data analysis, helping uncover insights much faster. Additionally, it’s possible to automate error detection and logging, making it easier to spot potential issues and address them quickly. By understanding how data warehousing services are used within an organization, businesses can identify the best areas to implement automation. 3. Keep Your Data Secure When data is scattered across multiple locations, makes your security more challenging. Many leaders don’t even know how much data they have or where it’s stored. With data warehousing services, everything is stored in one place, making it easier to track and secure information. Plus, most data warehousing platforms come with built-in security features. Some can block harmful SQL code from outside attacks, while others limit how much data someone can view at once, reducing the risk of unauthorized use. Organizations can also control who accesses the data warehouse and why. This ensures that people only see what’s relevant to their job. Additionally, some data warehouses lock out users who try to log in from unusual locations, making it harder for hackers to take advantage. To effectively implement data warehousing services in your company, it is advisable to leverage digital transformation consulting services for a well-guided and strategic implementation. 4. Enhance Data Quality and Consistency Sustaining high quality and consistency of the data is an essential requirement for your organization. Worse the cloud data is unstructured or inaccurate and hence will not be of much use. A data warehousing system can aid in

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