Astera

MAY 9, 2023

Data Quality While traditional data integration tools have been sufficient to tackle data quality issues, up till now, they can no longer handle the extent of data coming in from a myriad of sources.

Healthcare 40

Healthcare Retail Finance Data Quality 40

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Business Analysis Knowledge Share

NOVEMBER 10, 2023

Data cleaning and transformation In another scenario, you have received a messy dataset with missing values and inconsistent formatting. ChatGPT can help clean and transform the data by automatically filling in missing values, standardizing formats, and ensuring data quality. Q2: Can ChatGPT create interactive dashboards?

Data Analytics 66

Data Analytics Data Analytics Healthcare E-Commerce 66

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

SEPTEMBER 28, 2023

Data Quality: ETL facilitates data quality management , crucial for maintaining a high level of data integrity, which, in turn, is foundational for successful analytics and data-driven decision-making. ETL pipelines ensure that the data aligns with predefined business rules and quality standards.

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52

Astera

JANUARY 23, 2024

Data vault goes a step further by preserving data in its original, unaltered state, thereby safeguarding the integrity and quality of data. Additionally, it allows users to apply further data quality rules and validations in the information layer, guaranteeing that data is perfectly suited for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

Smart Data Collective

SEPTEMBER 22, 2021

Experts continue to raise concerns about how and if businesses are making use of unstructured data, but in addition to actively sharing that information, until access to machine learning protocols is more widespread, the ability to effectively utilize this information and derive insights will be compromised.

Pharmaceutical 289

Pharmaceutical Healthcare Documentation Retail 289

Astera

JANUARY 25, 2024

This ensures a smooth and reliable data flow between their centralized data repository and operational systems. These tools can spot issues like errors or failed data transfers, maintaining data quality and reliability.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JULY 13, 2023

Enterprise Application Integration (EAI) EAI focuses on integrating data and processes across disparate applications within an organization. It enables real-time data exchange and facilitates seamless communication between various systems. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

JANUARY 24, 2024

Key Features of Astera It offers customized data quality rules so you can get to your required data faster and remove irrelevant entries more easily. It provides multiple security measures for data protection. Features built-in data quality tools, such as the Data Quality Firewall, and error detection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data Movement Data movement from source to destination, with minimal transformation. Data movement involves data transformation, cleansing, formatting, and standardization. Data Quality Consideration Emphasis is on data availability rather than extensive data quality checks.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

APRIL 29, 2024

Data profiling involves examining the data using summary statistics and distributions to understand its structure, content, and quality. Example: A retail manager analyzes a dataset of customer purchases to find average spending, most common items, and times of purchase to devise a data-driven marketing strategy.

Big Data 52

Big Data Retail Healthcare Finance 52

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

OCTOBER 30, 2023

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? AI-powered auto mapper to easily map your data from sources to destinations.

E-Commerce 40

E-Commerce Talent Acquisition Healthcare Data Quality 40

Astera

JUNE 14, 2023

Transformation: Converting data into a consistent format for easy use. Aligning external and internal data formats. Handling inaccurate and abnormal data. Ensuring data quality and consistency. Loading/Integration: Establishing a robust data storage system to store all the transformed data.

Procurement 52

Procurement Data Security Retail Monitoring 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

GAVS Technology

SEPTEMBER 2, 2021

The approach includes certain time-series analysis techniques or few-shot learning, synthetic data, or self-supervised learning.”. However, based on our point of view, small data emphasize on the role of Master Data Management within the scope of the enterprise.

Master Data Management 52

Master Data Management Healthcare Big Data Data Mining 52

Tableau

DECEMBER 7, 2020

Aside from investing in data skills, business leaders must also look into developing a more holistic data strategy as they increasingly incorporate data in their business processes. Building business resilience with data analytics, starting now.

Banking 90

Banking Embedded Analytics Agile Healthcare 90

Astera

JANUARY 7, 2024

Sephora , the beauty retailer, tracks purchase history and product preferences to offer personalized product recommendations and rewards, increasing customer loyalty. Data Profiling: Astera allows businesses to profile their customer data to identify trends, patterns, and anomalies. Data Profiling in Astera 3.

E-Commerce 52

E-Commerce Predictive Analytics Customer Experience Customer Experience 52

Astera

NOVEMBER 13, 2023

In industries like finance, where historical data can inform investment decisions, or retail, where it helps with inventory management and demand forecasting, the ability to monitor past data records is crucial. The design simplifies data retrieval and analysis because it allows for easy and quick querying.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

DECEMBER 7, 2023

It also provides a structured and organized way to exchange data between supply chain partners. E-commerce and Retail For e-commerce businesses, ETL aids in analyzing transactional data, customer behavior, purchase patterns, and product preferences.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

It also provides a structured and organized way to exchange data between supply chain partners. E-commerce and Retail For e-commerce businesses, ETL aids in analyzing transactional data, customer behavior, purchase patterns, and product preferences.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Tableau

DECEMBER 7, 2020

Aside from investing in data skills, business leaders must also look into developing a more holistic data strategy as they increasingly incorporate data in their business processes. Building business resilience with data analytics, starting now.

Banking 52

Banking Embedded Analytics Agile Healthcare 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

NOVEMBER 30, 2023

Let’s explore these benefits in detail: Scalability Scalability is vital because data volumes are continually expanding, and organizations need systems that can handle this ever-growing demand. For example, consider a retail company that experiences a surge in online sales during the holiday season. Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Data Pine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. These businesses include eBay, Autotrader, and Amazon.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Data Pine

AUGUST 21, 2019

98% of sales representatives in the construction sector that have adopted data analytics as a part of their day-to-day strategy reported dramatic reductions in their timeframe for providing price quotes to new as well as existing prospects. Another undeniable insight into the power of using a sales report chart to boost business efficiency.

Visualization 94

Visualization Big Data Data Visualization Data Analytics 94

Data Pine

MAY 31, 2022

This has increased the difficulty for IT to provide the governance, compliance, risks, and data quality management required. Every time a company moves data from the internal storage to a cloud, it is faced with being compliant with official regulations and laws.

Cloud Computing 95

Cloud Computing Cybersecurity Government Business Intelligence 95

Data Pine

JANUARY 21, 2020

Enhanced data quality. One of the most clear-cut and powerful benefits of data intelligence for business is the fact that it empowers the user to squeeze every last drop of value from their data. With so much information and such little time, intelligent data analytics can seem like an impossible feat.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Artificial Intelligence 103

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

Data Pine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

APRIL 16, 2019

First and foremost, the main reason usually invoked is data quality. Data quality is the condition of a set of qualitative or quantitative variables, that should be “fit for [its] intended uses in operations, decision making and planning”, according to an article written by author Thomas C. 2) Online retail.

IBM Maintenance 115

IBM Maintenance IBM cost IBM Support Retail 115

Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

Data Quality 98

Data Quality IBM Maintenance IBM Support Finance 98