Business Intelligence Data Engineering Survey 
TechCrunch
SEPTEMBER 29, 2022
(In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.) Their clients often encountered challenges in transforming data, Petrossian says, as well as documenting these transformations in a way that made intuitive sense.
TechCrunch
MAY 26, 2022
But as data continues to grow in scale and complexity, it’s becoming scattered across apps and platforms — often leading to problems where it concerns data quality. He’s the founder of Manta , a data lineage platform that automatically scans an organization’s data sources to build a map of data flows.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Altexsoft
FEBRUARY 8, 2021
Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.
O'Reilly Media - Ideas
JANUARY 29, 2019
A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. The current generation of AI and ML methods and technologies rely on large amounts of data—specifically, labeled training data. Data scientists and data engineers are in demand.
O'Reilly Media - Ideas
FEBRUARY 11, 2020
Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.
O'Reilly Media - Ideas
FEBRUARY 11, 2019
This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Automation in data science and big data. Open Data, Data Generation and Data Networks.
CIO
FEBRUARY 13, 2023
This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). Fleschut says he will also hire more IT personnel this year, especially data scientists, architects, and security and risk professionals.
Expert insights. Personalized for you.
184 
Let's personalize your content