Data Fairy

27/07/2023

Last year, Abra was struck by a very strong earthquake. This year, they were severely hit by Typhoon Egay with super duper strong winds and nonstop rain for 24hours.

A lot of Abrenios were stranded due to fallen trees and houses were flooded. Properties destroyed. 😞

Your donations will greatly help fellow Abrenios / Filipinos.
Please send me screenshot for proof so we may account properly.

Thank you 🙏🏻

05/07/2023

Need help in any Data Analytics work? Hire me! 🧚‍♀️

15/06/2023

Let us help you make sense of your data 🥳🤩

18/05/2023

04/05/2023

Getting the ratio of something is a common question or ask around business.
Whether it be sales percentage, profit or any rates to measure.

These are some ways to visualize them. If you need help in any dashboarding or data visualization, we are glad to help! Feel free to contact us!

Source: https://infonewt.com/percentages?hss_channel=lcp-3740012

04/05/2023

💯

03/05/2023

4 Types of Data Analytics/Analysis
𝟭. 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: This type of analytics involves examining past data to identify patterns and relationships. It helps to answer the question "what happened?" Examples of descriptive analytics include dashboards, data visualizations, and key performance indicators (KPIs). Tools to use for descriptive analytics include Microsoft Excel, Power BI, Tableau, and Google Analytics.
𝟮. 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: This type of analytics involves examining data to determine the cause of a specific event or outcome. It helps to answer the question "why did it happen?" Examples of diagnostic analytics include root cause analysis and correlation analysis. Tools to use for diagnostic analytics include Python, R, and SAS.
𝟯. 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: This type of analytics involves using past data to predict future outcomes. It helps to answer the question "what is likely to happen?" Examples of predictive analytics include forecasting and regression analysis. Tools to use for predictive analytics include IBM SPSS, Microsoft Azure, and RapidMiner.
𝟰. 𝗣𝗿𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: This type of analytics involves using data to recommend actions that can be taken to achieve a specific outcome. It helps to answer the question "what should we do?" Examples of prescriptive analytics include optimization models and decision trees. Tools to use for prescriptive analytics include AnyLogic, AIMMS, and Solver.
The four types of data analytics serve different purposes in understanding and analyzing data.
While descriptive analytics helps to identify patterns and relationships, diagnostic analytics helps to determine the cause of a specific event or outcome.
Predictive analytics uses past data to predict future outcomes, while prescriptive analytics recommends actions that can be taken to achieve a specific outcome.
Picture source: Nicholas Boucher
Post source: Akerele Oluwasogo of LinkedIn

https://www.linkedin.com/posts/akerele-oluwasogo-glmp-mr-excel-11066710b_%3F%3F%3F%3F-%3F%3F%3F%3F%3F-%3F%3F-%3F%3F%3F%3F-%3F%3F%3F%3F%3F%3F%3F%3F%3F-activity-7058828020228251649-Xzq-?utm_source=share&utm_medium=member_desktop

02/05/2023

Good morning!

02/05/2023

We take care of your data analytics needs!

Free consultation

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Send us a pm 🙂

30/03/2023

Need Visualization for your data?

Just message us so we can create those beautiful dashboards! ✨

22/03/2023

Message us for any of the following that you need for your business! We'd be glad to help you out!

Inquiring or consulting is FREE! 😄