Remove 2022 Remove Accessibility Remove Data Governance Remove Structured Data
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The Role of Technology in Making Data-Driven Strategic Decisions

Precisely

Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.” In a separate survey conducted in 2022, for example, S&P Global Market Intelligence found that fewer than one-quarter of respondents said nearly all strategic decisions are data-driven within their companies.

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Data-Driven Decision Making: Trends, Challenges & Solutions

Precisely

In today’s digital economy, data-driven decisions are quickly becoming the norm. Nevertheless, it’s notable that fewer than one quarter said nearly all strategic decisions are data-driven within their companies. Data quality and consistency, for example, are essential prerequisites for trusted data-driven decisions.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

To illustrate the sheer volume of unstructured data, we’ll take the 10th annual “Data Never Sleeps” infograp hic , showing how much data is being created each minute on the Internet. How much data was generated in a minute in 2013 and 2022. Source: DOMO Just imagine that in 2022, users sent 231.4

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Machine Learning Made Easy: Q&A with Snowflake Head of Artificial Intelligence and Machine Learning Strategy Ahmad Khan

Snowflake

Why AI has everyone’s attention, what it means for different data roles, and how Alteryx and Snowflake are bringing AI to data use cases There’s a llama on the loose! With all the hoopla around AI, there’s a lot to get up to speed on—especially the implications this technology has for data analytics.

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5 Examples of Bad Data Quality in Business — And How to Avoid Them

Monte Carlo

TABLE OF CONTENTS Unity Technologies’ $110M Ad Targeting Error Unity Technologies, notable for its popular real-time 3-D content platform, experienced a significant data quality incident in Q1 2022. Data governance can also include data quality standards that define benchmarks for accuracy, completeness, and consistency.

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The Future of Data Warehousing

Monte Carlo

Data issues identified and resolved faster A bright and rapidly evolving future 1. Data lake and data warehouse convergence The data lake vs data warehouse question is constantly evolving. The maxim that data warehouses hold structured data while data lakes hold unstructured data is quickly breaking down.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

Commonly, the entire flow is fully automated and consists of three main steps — data extraction, transformation, and loading ( ETL or ELT , for short, depending on the order of the operations.) Dive deeper into the subject by reading our article Data Integration: Approaches, Techniques, Tools, and Best Practices for Implementation.