Data Warehousing and Business Intelligence

Information is truly power, especially for businesses. However, while all enterprises have access to tons of data, few use it to drive their decision-making processes.
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Overview

Organizations that have learned to convert their data into actionable insights have seen massive increases in their sales and revenues, transforming them into giant corporations.

So, where does the difference come in?

It lies in the concepts of Data Warehousing and Business Intelligence.

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About Data Warehousing and Business Intelligence

Data Warehousing and Business Intelligence is the process of collecting and storing an organization’s data in external or internal databases, for analysis and production of business insight. 

With a dizzying amount of information going through your enterprise each day, you can no longer rely on archaic methods to store and analyze the data.

If you are looking to exploit the power of actionable insights in making decisions, you have to know how to utilize data warehousing and business intelligence tools.

This is where we come in.

At Sigma Solve, we offer data analytics services, including storing, organizing, analyzing, and distributing ready-to-use data. We utilize state-of-the-art analytics tools to ensure you get the most out of your data, providing actionable insights that will give you a significant competitive advantage.

Our Services

Here are our offerings to our esteemed customers:

Fully Managed ETL/ELT

Sigma Solve provides commendable data movement solutions with fully managed ETL/ELT options. ETL (Extract, Transform and Load) is used for small-scale, on-premise, and structured data, while ELT (Extract, Load and Transform) is used for large amounts of scalable data that can be structured or unstructured.

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Lakehouse for Analytics

Lakehouse technology combines the data warehouse and data lake technology to form a hybrid solution. The combination creates a formidable tool for managing both structured and unstructured data.

AI/ML and Advanced Analytics

Enjoy advanced data analytics with Artificial Intelligence and Machine learning tools. Sigma Solve employs Azure Databricks, Azure Machine Learning, and MLflow to make building and sharing machine learning applications easier and faster. These advantages also make data analysis, cleaning, and other forms of manipulation accessible and secure.

ML makes data warehousing efficient by capturing big data from different sources and storing them in a single, accessible platform for easy cleaning, analysis, and retrieval.

Scalable Managed Database

Sigma Solve Databases are designed to handle all types of data growth and users without crashing. Careful planning for workload growth is a priority because it ensures all data storage and retrieval is sustainable and financially logical.

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Modern Cloud Data Warehouse

Modern cloud data technologies take advantage of the best techniques and tools to manage your data and keep you competitive. That is why Sigma Solve brings to you the most sophisticated software as a service (SaaS) option in the market: Snowflake.

Snowflake is an advanced cloud technology platform that supports an array of data workloads, including Data Applications, Data Engineering, Data Science, and Data Sharing. Modern cloud data solutions are easier to use, faster, and more flexible than traditional ones with the same capabilities.

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Actionable Business Intelligence

Business Intelligence has never been better than it is today with Solve Sigma’s BI tool. This cloud-based platform equips businesses with actionable insights that make it easier to run market analysis from data trends, make informed decisions about the future and critically track customer behavior. The BI tool allows you to structure your data in a coherent, interactive, and immersive way, making data management less stressful.

Benefits of Data Warehousing for Customers

All this sounds good, but why should you invest in data warehousing?

Here's what our clients are saying about us:

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