Data Modelling, Data Quality and Predictive Analytics

Data duet: Why business analyst and data scientist make a great match

Analysts Corner

JANUARY 19, 2025

Our team recently started experimenting with AI modelling on our data platform. Our first project was a predictive analytical model, with the goal of segmenting our members. If the same data is available in several applications, the business analyst will know which is themaster.

Data Quality

Data Quality Predictive Analytics Data Modelling Business Analysis

Top Data Analytics Terms You Should Know

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

Data Analytics Data Analytics Data Warehouse Data Modelling

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance

Data Governance Data Discovery Government Data Analytics

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From Failure to Forecasting: Smarter M&A Strategies

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Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance

Data Governance Data Discovery Government Data Analytics

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance

Data Governance Data Discovery Government Data Analytics

A Complete Guide to Data Analytics

Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. Veracity: The uncertainty and reliability of data.

Data Analytics

Data Analytics Data Analytics Data Mining Supply Chain

Health Data Management | Challenges and Best Practices

Astera

JANUARY 23, 2023

Improved clinical care with predictive healthcare analytics Predictive analytics enable healthcare providers to establish patterns and trends from data that may predict future trends. Ensuring Data Quality Medical errors are the third leading reason for death in the US.

Data Management

Data Management IBM Maintenance Healthcare IBM cost

Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile

Agile Data Warehouse Data Quality Government

Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Astera

AUGUST 22, 2023

Grid View: The Grid View presents a dynamic and interactive grid that updates in real time, displaying the transformed data after each operation. It offers an instant preview and feedback on data quality, helping you ensure the accuracy and integrity of your data.

Innovation

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Cloud Data Warehouse: A Comprehensive Guide

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

Data Warehouse

Data Warehouse Data Quality Big Data Predictive Analytics

Data Science vs Data Analytics: Key Differences

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics

Data Analytics Data Analytics Data Warehouse Healthcare

6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Astera

DECEMBER 21, 2022

The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.

Data Warehouse

Data Warehouse Supply Chain Business Intelligence Business Intelligence

Top 15 Data Analysis Tools in 2024

Astera

AUGUST 28, 2024

Pros Robust integration with other Microsoft applications and services Support for advanced analytics techniques like automated machine learning (AutoML) and predictive modeling Microsoft offers a free version with basic features and scalable pricing options to suit organizational needs. Offers a limited experience with Mac OS.

IBM Support

IBM Support IBM Maintenance IBM cost Data Mining

The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics

Business Analysis Digest

Data duet: Why business analyst and data scientist make a great match

Top Data Analytics Terms You Should Know

Webinars

Trending Sources

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

Webinars

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

A Complete Guide to Data Analytics

Health Data Management | Challenges and Best Practices

Information Marts: Enabling Agile, Scalable, and Accurate BI

Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Cloud Data Warehouse: A Comprehensive Guide

Data Science vs Data Analytics: Key Differences

6 Benefits of Adopting a Cloud Data Warehouse for Your Organization

Top 15 Data Analysis Tools in 2024

The Benefits, Challenges and Risks of Predictive Analytics for Your Application

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