Tag Archives: data

Data Governance Goals Explained with Examples

data governance goals and objectives

Data governance is an important element of any organization’s data management strategy. It provides a framework for creating, managing and monitoring data within an organization. This ensures that the data is accurate, consistent, secure, and compliant with all relevant regulations. It also allows organizations to make informed decisions based on quality data. In this blog post, we will explore the goals and objectives of good data governance and provide some examples to help you implement it in your organization. Here is the picture representing the most important goals of data governance: Protect the needs of data stakeholders Data governance helps protect the needs of data stakeholders by ensuring that the …

Continue reading

Posted in Data, Data Governance, Data management. Tagged with , , .

Data Analysis Types: Concepts & Examples

different types of data analysis

Data analysis plays an important role in understanding the world, discovering trends, and making decisions. Having a good understanding of the different types of data analysis available is essential for anyone looking to make sense of their data. In this blog post, we’ll discuss the six different forms of data analysis and provide examples of each type so you can get a better idea of how they work. The following is a representation of six forms of data analysis. Descriptive Data Analysis One of the most common forms of data analysis is descriptive data analysis. This type of analysis involves analyzing and summarizing the metrics in a dataset including central …

Continue reading

Posted in Data, Data analytics. Tagged with , .

Data Catalog Concepts, Tools & Examples

data catalog concepts and tools

A data catalog is a comprehensive collection of information about an organization’s data assets, and it serves as the foundation for making informed decisions about how to manage and use data. This includes all types of data, structured or unstructured, spread across multiple sources including databases, websites, stored documents, and more. A good data catalog should provide users with the ability to quickly identify what types of data are available within the organization, where they are located, and who owns them. In this blog, we will learn basic concepts of data catalog along with some examples. What is Data Catalog? A data catalog is a comprehensive inventory of all the …

Continue reading

Posted in Data, Data Governance, Data management. Tagged with , , .

Data Governance Framework Template / Example

data governance framework template

Data governance is a framework that provides data management governance. It’s the process of structuring data so it can be governed, managed and used more effectively. Data governance framework forms the key aspect of data analytics strategy. This blog post will discuss key functions of a standard data governance framework and can be taken as a template or example to help you get started with setting up your data governance program. What is Data Governance Framework? Data governance can be defined as enterprise-wide management of data from availability, usability, security and integrity standpoint. The data governance framework is intended to put some structure around how data can be managed and …

Continue reading

Posted in Data, Data analytics. Tagged with , .

Data Lakehouses Fundamentals & Examples

data warehouse vs data lake vs data lakehouses

Data lakehouses are a relatively new concept in the data warehousing space. They combine the scalability and cost-effectiveness of cloud storage with the flexibility, security, and performance of traditional data warehouses to create an extremely powerful data management solution. But what exactly is a data lakehouse, how does it work, and how might it be used in your organization? In this blog post, we’ll explore the basics of data lakehouses and provide real-world examples to illustrate their value. What is a Data Lakehouse? Simply speaking, data lakehouses combines elements from both data warehouses and data lakes — hence the name “data lakehouse” — to provide users with a single platform …

Continue reading

Posted in Data, Data lake, Data Warehouse. Tagged with , , .

Data Warehouse vs. Data Lake – Differences, Examples

data warehouse vs data lake

When it comes to data storage, there are two distinct types of solutions that you can use—a data warehouse and a data lake. Both of these solutions have their own benefits, but it’s important to understand the key differences between them so that you can choose the best option for your needs. Let’s take a closer look at what makes each solution unique.  What is a Data Warehouse? A data warehouse is defined as an electronic storage system used for reporting and analysis. Data warehouses store data in a structured (row-column) format. It typically contains aggregated collections of data from multiple sources, which come together in one database. A data warehouse …

Continue reading

Posted in Data, Data lake, Data Science, Data Warehouse. Tagged with , , .

Designing & Building Data Products – Best Practices

designing and building data products - best practices

For those in the analytics industry, designing and building data products is a critical part of the job. It’s important to understand how to design and build data products that are useful, efficient, effective and loved by the end customers. In this blog post, we will discuss some best practices for designing and developing innovative data products. It’s important to keep these best practices in mind when developing data products / solutions as they can help ensure your product is successful. Call out Decision – Action – Outcome Hypothesis It is important to call out decision-action-outcome hypotheses when building data products because it serves as a blueprint for designing, testing …

Continue reading

Posted in Data, Product Management. Tagged with , .

Data Ingestion Types – Concepts & Examples

data ingestion types

Data ingestion is the process of moving data from its original storage location to a data warehouse or other database for analysis. Data engineers are responsible for designing and managing data ingestion pipelines. Data can be ingested in different modes such as real-time, batch mode, etc. In this blog, we will learn the concepts about different types of data ingestion with the help of examples. What is Data Ingestion? Data ingestion is the process of extracting data from its source and loading it into a data storage system. The data source can be either structured or unstructured. Structured data sources are typically found in relational databases, while unstructured data sources …

Continue reading

Posted in Data, data engineering. Tagged with , , .

Data Warehouse Concepts & Examples

data warehouse concepts and examples

A data warehouse is a system used for reporting and data analysis, and is considered a core component of business intelligence. Data warehouses are centralized repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that can be used to answer business questions. Data warehouses are used to support business intelligence applications. Business intelligence applications are used to make decisions about the operation of the business.  A data warehouse is usually populated with data from an operational database, which contains transactions. The process of populating the data warehouse is called Extract, Transform, and Load (ETL). This process cleans, transforms, and …

Continue reading

Posted in Data, Data Warehouse. Tagged with , .

Top Healthcare Data Aggregation Companies

healthcare data aggregation services

Data aggregation is the process of collecting data from multiple sources and compiling it into a single database. This process is essential for healthcare professionals, companies and startups because it allows them to track and analyze patient data, which can be used to improve patient care. There are many companies that offer healthcare data aggregation services. However, not all of them are created equal. To help you choose the right company for your needs, we’ve compiled the following list of the top healthcare data aggregation companies. This list will be updated from time-to-time. Athenahealth: Athenahealth is a healthcare data aggregation company that provides electronic health records, practice management software, and …

Continue reading

Posted in Data analytics, Data Mining, Healthcare. Tagged with , , , .

Role of Data in Digital Transformation

role of data in digital transformation

In order to understand the role of data in digital transformation, it is important to first understand what digital transformation is. Digital transformation is the process of using digital technologies to create new or improved business processes, products, or services. This can be done through the use of big data, cloud computing, mobile technologies, and the Internet of Things (IoT). Data is a key enabler of digital transformation. It helps organizations to identify new opportunities, make better decisions, and improve operational efficiency. Big data, in particular, is playing an increasingly important role in digital transformation initiatives. Big data refers to large volumes of data that can be structured, unstructured, or …

Continue reading

Posted in Data, digital transformation. Tagged with , .

Data Lineage Concepts, Examples & Tools

data lineage tools examples concepts skills

Data lineage can be a complex and confusing topic. It’s hard to know where your data comes from, how it’s been changed, and what the impact of those changes has been. Data lineage tools make tracing data easy and straightforward. By understanding your data’s history you can more effectively troubleshoot issues, optimize processes, and make better decisions. In this blog, you will learn about data lineage concepts, examples, and tools. As a data professional, you must have a strong understanding of data lineage. What is Data Lineage and why is it important? Data lineage is a term used in data management to describe the path that data takes from its …

Continue reading

Posted in Data, Data management. Tagged with , .

Data Analyst Technical & Soft Skills

data analyst skills experience jobs salaries

Do you want to become a data analyst? It’s a great career choice! Data analysts are in high demand these days. Companies rely on data analysts to help them make better decisions by turning data into insights. In order to be successful, data analysts need a mix of technical skills and soft skills. Technical skills include expertise in analyzing data. Soft skills include communication and problem-solving skills. Data analysts must be able to take data and turn it into insights that help their company make better decisions. They also need to be able to effectively communicate those insights to people who may not have a technical background. In this blog …

Continue reading

Posted in Big Data, Career Planning, Data, Data analytics, data engineering, Data Mining. Tagged with , .

Data Lake: Design principles & Best practices

data lake concepts

In today’s business world, data is king. The more data you have, the more insights you can glean about your customers, your products, and your operations. And the best way to collect and store all that data is in a data lake. A data lake is a data management and analytics platform that offers several benefits over traditional data warehouses. Data lakes have gained in popularity in recent years due to the growing volume of data being generated by businesses and organizations of all sizes. But before you can reap the benefits of a data lake, you need to design it correctly. The people who should be involved in designing …

Continue reading

Posted in Data, Data analytics, data engineering, Data lake, Data Science. Tagged with , .

What is Data Quality Management? Concepts & Examples

what is data quality and why is it important

What is data quality? This is a question that many people ask, but it is not always easy to answer. Simply put, data quality refers to the accuracy and completeness of data. If data is not accurate, it can lead to all sorts of problems for businesses. That’s why data quality is so important – it ensures that your data is reliable and can be used for decision-making purposes. Data is at the heart of any enterprise. It is essential for making sound business decisions, understanding customers, and improving operations. However, not all data is created equal. In order to make the most out of your data, you need to …

Continue reading

Posted in Data, Data analytics. Tagged with , .

Data Readiness Levels Assessment: Concepts

data readiness levels assessment

Data readiness levels (DRLs) and related assessments are an important part of data analytics. Data readiness levels is a concept where different stages represent the quality and maturity of data. Data science is becoming increasingly popular, but not all companies have the right level of data readiness for this type of work. Performing data readiness levels assessment is important because it gives an insight into the quality and quantity of your current datasets and helps determine future success of the data analytics project. This blog post will explain what data readiness levels are and why assessment tests are important in relation to them. What are data readiness levels? Data readiness …

Continue reading

Posted in Data, Data analytics, Data Science. Tagged with , .