To meet the rising business needs and maintain solid customer relationships, businesses rely on data centers. From storing valuable leads to customer data, enterprises require a solid database. To offer the required support and to empower business operations, enterprises can opt for Data Warehousing solutions.
Data Warehousing is an advanced data service that offers a range of features designed to simplify data management operations. By adopting this advanced technology, organizations from small to Fortune 500 have centralized and analyzed their business data more effectively.
If you're an enterprise owner who is struggling with data management or decision-making? Investing in Data Warehousing would help with your transformation. In this blog post, we will explore what Data Warehousing is, its types, and how it benefits your business in brief.
What is Data Warehousing
Data Warehousing is a centralized repository that stores different types of (structured & unstructured) data from various sources. Its disciplined approach provides businesses with various business intelligence, data management/analysis, and more, helping turn raw data into actionable insights. Besides being a centralized platform, Data warehouses store ancient and new data, acting as a source of truth to organizations.
A Data warehouse can store data from various sources like ERP, CRM, IOT, apps, social media, and more. With the platform harnessing the latest cloud technologies, it has transformed its way of operation with cloud computing and hardware-free storage.
Types of Data Warehousing
Being a centralized data platform, a Data Warehouse is categorized based on the needs of the organization. The various Data Warehousing modules are Enterprise Data Warehouse, Operational Data Warehouse, Data Mart, Cloud Data Warehouse, and Big Data Warehouse.
Enterprise Data Warehouse
It is a focused platform that is designed to optimize querying data and analysis faster from various databases. Built on a multi-dimensional data model, Enterprise Data Warehouse offers strategic info, better visualization, and data-driven decisions to organizations.
Additionally, a perfectly implemented Enterprise Data Warehouse helps enterprises with,
- Improved Data Accessibility: An EDW (Enterprise Data Warehouse) unifies all data in a single place that can be accessed by every team. This approach removes data silos and improves the quality of data sets.
- Enhancing BI and Decision making: With EDW, enterprises can have a greater understanding of the business operation to make advanced decisions. Also, leveraging its data insights, companies can easily finalize on a decision to empower business operations.
- Scalability & Performance: The scalable architecture of EDW helps organizations with high performance, enhances query efficiency, provides faster insights, and a lot more.
Operational Data Warehouse
To analyze day-to-day functions and gather reports more easily, Operational Data Warehousing comes into action. By integrating with your system, you can easily access the daily progress of clients, employee records, CRM entries, and more in one place. This centralized access helps businesses to monitor the daily progress and to take the necessary action needed.
Data Mart
If your business data needs are limited or need monitoring on a specific segment, then Data Mart is a wise choice. Being a subset of a data warehouse, it is focused on gathering specific data segments to facilitate business operations more easily. Using the report data of Data Mart, businesses can access and analyze data for smarter insightful decisions.
Cloud Data Warehouse
To bring flexibility and to upgrade analysis even better, data experts adopted Cloud Data Warehousing. Using the Cloud as a platform, data warehouses carry out data reporting and analyses over the internet. By integrating Cloud Data Warehouses, businesses can reduce IT expenses on internal resources and achieve higher growth.
Big Data Warehouse
To analyze complex and large amounts of data, organizations can adapt a Big Data Warehouse. The service can analyze structured and unstructured data easily for reporting. If you're a business owner who deals with a lot of data management, then Big Data is your best choice.
Benefits of Data Warehousing
Now that we have learned the fundamentals and types of data warehouses, it's important to see how they contribute to your business's success. Let's have a look at the core benefits that make data warehousing an asset to your organization.
Data Streamlining: The data unification of the Data Warehouse helps foster team collaboration, find the source data, reduce inconsistency, and improve decision making.
Enhanced Reporting: The advanced data analytics support of Data Warehouses will easily analyze different data metrics for enhanced reporting.
Improved Data Efficiency: To make data analysis smoother and to reorganize data, Data Warehouses do data cleansing. This process will happen before loading to DW (Data Warehouse).
Customer Understanding: With DW, businesses can easily analyze customer needs, taste, and their requirements. Using this, businesses can take data-driven decisions to develop customer-brand relationships.
Helping in Sales Cycle: By undergoing customer analyses with DW, the sales team can pitch a targeted campaign to improve product revenue.
Minimize Workload: DW keeps analytical processes separate from transactional systems to ensure uninterrupted performance for day-to-day operations.
Modern Data Warehousing
To empower data analytics and to offer convenience, DW services are moving to modernization.
The traditional on-premises DW is entailed with hardware, infrastructure, and an IT technician for system management. This old infrastructure is rigid, not flexible with new advanced measures, and doesn't offer scalability. To bridge this situation to the modern audiences, DW is upgraded with Cloud.
Cloud-based solutions like Amazon RedShift, Azure Synapse Analytics, and Google BigQuery offer data analysis support with large data volumes without any upfront infrastructure costs.
As a fact, organizations like Finance, Retail, and Consumer Goods are increasingly interested in modern DW for easy management and business operations. Therefore, businesses that target modern audiences should consider integrating modern Data Warehouses into their operations.
How We Offer Data Warehousing to Our Clients
To scale up businesses in this shifting market, innovative software and technological principles play a crucial role. With data being crucial for customer brand relationships, industry leaders have started investing in Data warehousing for their operations.
We will make the Data Warehouse implementation easier for your workforce. At SGS, we help businesses with DW solutions that include Self-Service BI, Data Mining, Data Analytics, Cloud DW, NLP, and edge computing. Our custom Data Warehouse Development services and focused approach help enterprises with intelligent insights, boosted performance, mitigating risk, and driving innovation.
The successful implementation of Data Warehouses to Government and private parties proves our expertise and experience. Looking to scale up your data management and business operations? Contact us today to have a talk with our experts.
