Analysts Corner

APRIL 30, 2023

Is data analysis an important skill set for an aspiring BA? Photo by Claudio Schwarz on Unsplash I was told that moving to a business analyst role without having prior experience in it would be impossible. Move into a data analyst role and from there catch the train of BA”. But this time I got something new.

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Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. To put it into perspective, a bibliometrics study reveals that an astounding 2.5 Processing this information is beyond traditional data processing tools. They gather, process, and analyze data from diverse sources.

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Astera

APRIL 29, 2024

Did you know data scientists spend around 60% of their time preprocessing data? Data preprocessing plays a critical role in enhancing the reliability and accuracy of analytics. This blog will discuss why data preprocessing is essential for making data suitable for comprehensive analysis.

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Astera

OCTOBER 11, 2023

Alexander Graham Bell’s motto, ‘Preparation is the key to success,’ resonates powerfully in data analysis. Raw data is an intricate puzzle—complex, unstructured, and scattered. Data preparation helps unravel the intricacies, transforming chaos into clarity. Data quality is the foundation of reliable analysis.

Supply Chain 52

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Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., Big Data Tools (e.g.,

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Astera

OCTOBER 12, 2023

Bad data costs companies billions of dollars every year. That’s why you need a data validation tool to ensure your data is accurate, consistent, and reliable. What are Data Validation Tools? An organization can set up certain rules or conditions like including data from up to five years for analysis.

Data Quality 52

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ElegantJ BI

MARCH 26, 2017

The Self-Serve Data Preparation trend is growing by leaps and bounds. Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. Reducing time to analyze data by empowering business users do data prep on their own. Here are just a few: Empowering Business Users.

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Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions. Think of data governance as the rulebook for data management.

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Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions. Think of data governance as the rulebook for data management.

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Astera

FEBRUARY 14, 2024

What is Data Migration in Salesforce? Salesforce data migration is the process of transferring data from external sources, legacy systems, typically databases, into the Salesforce platform, a cloud-based customer relationship management (CRM) platform.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

In today’s data-driven business landscape, the role of a Business Analyst has evolved significantly. No longer confined to generating reports and analyzing historical data , Business Analysts are now expected to provide strategic insights that can drive decision-making and business growth. What is Data Warehousing?

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Smart Data Collective

SEPTEMBER 25, 2019

Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code.

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Astera

NOVEMBER 13, 2023

D ata is the lifeblood of informed decision-making, and a modern data warehouse is its beating heart, where insights are born. You might be thinking it ’ s on the cloud. Yes, it is , but there is much more to it than just being on the cloud. What is a Modern Data Warehouse? What is a Modern Data Warehouse?

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Astera

OCTOBER 10, 2023

Modern companies heavily rely on data to drive their decision-making processes, but data consistency and quality can lead to inaccurate conclusions. Gartner’s 2018 report highlights that organizations incur an average cost of $15 million annually due to poor data quality. What Is Data Standardization?

Data Quality 52

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Astera

APRIL 23, 2024

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. To do so, they need data quality metrics relevant to their specific needs. What is Data Quality? What are Data Quality Metrics?

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Cprime

JANUARY 19, 2021

Data is often the most valuable asset for a company because it’s possible to use it in so many ways. You can use data to improve processes, gather insights, or predict trends through data analysis. What Is Data Quality? Why Does Data Quality Matter? Improving Your Data Quality.

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Ntara

JUNE 23, 2021

It's time to standardize your product data. Businesses waste tens of thousands of hours per year tracking down the “right” version of their product data and putting it into the “right” format, often duplicating time and effort. Disorganized product data presents the same challenges and inefficiencies. file under.

Documentation 52

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Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? What are Data Ingestion Tools? to designated storage or analysis systems.

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Astera

MARCH 11, 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

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ElegantJ BI

MARCH 26, 2017

The Self-Serve Data Preparation trend is growing by leaps and bounds. Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. So, when it comes to self-serve data preparation, it is no wonder that organizations and business users are frustrated.

Business Intelligence 130

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ElegantJ BI

MARCH 26, 2017

The Self-Serve Data Preparation trend is growing by leaps and bounds. Well, there are a lot of reasons to like Self-Serve Data Preparation and Self-Serve Business Intelligence solutions. So, when it comes to self-serve data preparation, it is no wonder that organizations and business users are frustrated.

Business Intelligence 130

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Astera

OCTOBER 30, 2023

In the contemporary business landscape, businesses and organizations rely heavily on data to make informed decisions, understand customers, and facilitate growth. The quality and depth of data can, however, differ greatly, and frequently, raw data may not offer the insights required to produce effective outcomes.

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Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis.

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Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

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Astera

OCTOBER 16, 2023

Moving data from point A to point B can be time-consuming and complex. You’ve just purchased a new phone and can’t wait to use it. Without the data transfer software, you may end up spending hours manually moving contacts, photos, and messages from your old phone to the new one, turning your excitement into frustration.

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Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices. What is Data Extraction?

Data Mining 52

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Astera

APRIL 9, 2023

Data extraction is a crucial part of any business dealing with large volumes of information and involves capturing data from various sources, such as invoices, receipts, contracts, and other documents. That’s where AI-powered data extraction with reusable template-based extraction comes in.

Documentation 52

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Astera

JANUARY 15, 2024

However, the multitude of ETL tools available make it difficult to select the most suitable one. But why do teams select it? What are its key features, and what are some good Matillion alternatives? Its core mission revolves around streamlining data integration and enhancing business intelligence.

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Astera

JULY 18, 2023

million terabytes of data is created each day. While an abundance of data can fuel innovation and improve decision-making for businesses, it also means additional work of sifting through it before transforming it into insights. Cleaning data to fill missing values, remove duplicates, and correct errors.

Data Quality 52

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Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 2) Why Do You Need DQM? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. Table of Contents.

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Astera

FEBRUARY 6, 2024

quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume. ReportMiner extracts data and offers features for cleansing and transforming the extracted data.

IBM Maintenance 52

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Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. Reverse ETL ensures that data is available in tools, like business intelligence (BI), and data visualization, making them more effective and efficient in their operations.

E-Commerce 52

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Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, businesses need to employ the right Azure ETL (Extract, Transform, Load) tools to fully leverage its powerful capabilities.

Data Warehouse 52

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Astera

OCTOBER 31, 2023

A survey by found that 76% of data scientists consider data preparation their least favorite part of their job. This may be because data preparation can be a complex and time-intensive task, consuming hours, days, and sometimes even weeks of their valuable time. What Is Data Preparation?

Data Quality 52

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Astera

APRIL 10, 2023

A staggering amount of data is created every single day – around 2.5 In fact, it is estimated that 90% of the data that exists today was generated in the past several years alone. The world of big data can unravel countless possibilities. What is Big Data Integration? Why Does Big Data Integration Matter?

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Marutitech

MARCH 10, 2022

With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?” Adopting data analytics solutions is a significant milestone in the development and success of any business. But, it doesn’t have to. Analyze your data.

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Business Analysis Knowledge Share

MARCH 15, 2023

In the 1960s, the first database management systems (DBMS) were developed, which enabled businesses to store and manage large amounts of data electronically. This model, which is still widely used today, organizes data into tables or relations, with each table consisting of rows and columns.

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