Filter
Exclude
Time range
-
Near
Headline: Analyzing the March 2024 FAAC Distribution: A -19.70% MoM Decline ๐Ÿ“‰ #PublicFinance #NigeriaEconomy #FAAC #DataAnalytics #FiscalPolicy #LevelerInsights
1
๐Ÿš€ Learn how upgrading to WebFOCUS 9.3.7 unlocks Conversational AI, mobile insight, and Slack/Teams distribution: ibi.com/blog/modernization-oโ€ฆ #DataAnalytics #AI #Modernization #WebFOCUS #ibi
4
Los datos son el nuevo lenguaje de los negocios. ยฟLo hablas ya? Inscripciรณn: eventos.lin3s.com/del-dato-aโ€ฆ #BusinessIntelligence #DataAnalytics #TransformaciรณnDigital #Datos #BI #Esferion
1
Day 2 of my tech journey with @TechSphereAcad Data analytics journey will be so incredible and awesome Iโ€™m posting here to see my growth in 30 days #30daysoftech #handsonlearning #buildinpublic #dataanalytics
5
๐Ÿš€ Hive vs. Impala vs. Presto: Which SQL-on-Hadoop tool reigns for Big Data analytics? ๐Ÿ“Š Compare them: buff.ly/PUG8M8c #BigData #ApacheSpark #Hadoop #DataAnalytics #100DaysOfCode
1
Customers get answers immediately. The business stays responsive 24/7. That's RAG in plain English. #Aiautomation #businessanalytics #careergrowth #buildinginpublic #dataanalytics
1
2
We scored football on 5 things โ€” and "trophies" wasn't the biggest one. Competitive Quality = 40%. Global Impact = 25%. Talent & Tactics = 15%. Money = 10%. History = 10%. Translation: how HARD it is matters more than how OLD it is. Sorry to the "but tradition" crowd. ๐Ÿซก And the league preview already has a runaway No.1โ€ฆ Cope or agree? ๐Ÿ‘‡ #Football #DataAnalytics #PremierLeague #LaLiga #UCL @OptaAnalyst @FBref @StatsBomb @SquawkaNews @TheAthleticFC
1
4
Automation doesn't always mean a new tool. Sometimes it's one clever #PowerQuery trick!๐Ÿ˜Ž @kpuls' approach turned a painful weekly manual task into a one-click refresh and opens the door to tracking forecast accuracy over time. #FinancialForecasting #PowerBI #Excel #DataAnalytics
9
๐˜๐Ž๐”๐‘ ๐๐”๐’ ๐ˆ๐’๐โ€™๐“ ๐‹๐€๐“๐„ โ€” ๐‚๐ˆ๐“๐ˆ๐„๐’ ๐€๐‹๐‘๐„๐€๐ƒ๐˜ ๐Š๐๐Ž๐– ๐–๐‡๐„๐‘๐„ ๐ˆ๐“ ๐ˆ๐’ ๐ŸšŒ๐Ÿ“ #publictransportvictoria #SmartCities #transportationengineering #UrbanMobility #TransitTechnology #infrastructure #GPS #transportation #dataanalytics #engineering
1
Here's a number worth sitting with. Visa processes roughly 65,000 transactions per second at peak times. Every single one takes milliseconds to approve โ€” checking fraud, checking funds, routing between banks. You don't notice it because it's designed to be invisible. That's the entire business model. #Visa #Finance #DataAnalytics
1
In our latest benchmark, a traditional text-to-SQL approach required more than 4,400 schema-related tokens per query just to provide the model with enough context to understand a 28-table insurance data model. Think about that for a second: before AI can interpret the question, it first has to read the instruction manual. What we found is that when business context is already organized and governed, AI doesn't need to repeatedly rediscover how your data works. We created this white paper to help companies direct their attention to where costs are piling up and how Mosaic directly reduces them. Read the benchmark here: ow.ly/umGt50Zc7UH #EnterpriseAI #DataAnalytics #SemanticLayer #BusinessIntelligence
2
22
1,800
Built a Burger Sales Analytics SQL Project ๐Ÿ”๐Ÿ“Š โœ” Revenue Analysis โœ” Customer Retention โœ” Product Performance โœ” Peak Hours โœ” Advanced SQL ๐Ÿ”— github.com/daniyalamir791-doโ€ฆ #SQL #DataAnalytics #DataAnalyst #PortfolioProject What insight would you check first?
2
Pipelining combines the #eXtremeDB #DBMS's over 150 built-in vector-based statistical functions into assembly lines of processing for #timeseriesdata with the output of one function becoming input for the next for ultra #lowlatency. t.ly/jo3nN #HPC#dataanalytics
2
2
12
Consistency is key, and Iโ€™m grateful to SyntechHub for providing the space to practice and grow as a data analyst. ๐Ÿ’ป Iโ€™m definitely still learning, so I'd love to hear your constructive feedback and tips! ๐Ÿ› ๏ธ โ€‹#SyntechHub #DataAnalytics #PowerBI #intternship #datacommunity
1
1
6
34
We are pleased to introduce Prof. Emmanuel Awuni Kolog, Associate Professor of Data Science and Analytics at the University of Ghana, as a distinguished speaker for our 46th Management Week Celebration! #46MWC #UGBSMgtWeek2026 #MakeItHappen #DataScience #DataAnalytics
36
Iโ€™ll also share thoughts on NG politics, governance & football from time to time. DMs open for collabs, consulting, or chats. If you're into science, health, data, or politics, you're welcome. Let's build together! ๐Ÿ‡ณ๐Ÿ‡ฌ๐Ÿ’ก #PublicHealth #DataAnalytics #Biochemistry #SciComm
7
๐Ÿ“Š Las mรฉtricas no suelen fallar. Lo que suele fallar es cuรกndo las miras. En muchas ventas de alta demanda, las seรฑales ya estaban ahรญ: ๐Ÿ’ณ errores en pagos ๐Ÿ“ฑ abandono en checkout โณ ralentizaciones ๐Ÿ“‰ menor conversiรณn La clave no es medir mรกs. Es detectar el problema mientras todavรญa puedes actuar. ๐Ÿ”— qr.link/bCBD2E ___ ๐Ÿ“Š Metrics rarely fail. What usually fails is when you look at them. In many high-demand sales, the warning signs were already there: ๐Ÿ’ณ payment errors ๐Ÿ“ฑ checkout abandonment โณ slowdowns ๐Ÿ“‰ lower conversion The goal isn't measuring more. It's spotting the problem while you can still act. ๐Ÿ”— qr.link/bCBD2E #Ticketing #EventTech #LiveEvents #DataAnalytics
1