TIred: Drawing a stick figure for the occupational therapist.
wired: Adding a use case to turn it into my least favourite #UML diagram.
#Hospital #businessanalysis #uml
Brand new for Senior BA / Change Management professionals - the new Business Analysis Service Delivery Certification.
#businessanalysis #businesstransformation #businessanalyst #servicedelivery #BAEurope2023 #BAEurope23
https://www.bcs.org/qualifications-and-certifications/certifications-for-professionals/business-analysis/professional-certificate-in-business-analysis-service-delivery/?utm_campaign=BCS%20Membership&utm_medium=email&_hsmi=270476140&_hsenc=p2ANqtz-9rEnBSBUQ8-6NXZ5oKlrBaAF05q4vtrTNujWbAa20fVOiqDOIdKxUAt8tZyeY1TYuYo4F9PltBD0D2u6vuP9IskMPamg&utm_content=270476140&utm_source=hs_email
#businessanalysis #businesstransformation #BusinessAnalyst #servicedelivery #baeurope2023 #baeurope23
Here is an #introduction to me. My current job involves #programming (mostly in #JavaScript) but also #businessAnalysis, configuration of software, report writing in #CrystalReports, #projectManagement. Current and recurring interests include #writing, #hiking, #bicycling, #gardening, #drawing, #languages (#Spanish, #German, #alphabets, #urbanism, #architecture, #art, #physics, #science in general, #futurism, #AI, ...
#introduction #programming #javascript #businessanalysis #crystalreports #projectmanagement #writing #hiking #bicycling #gardening #drawing #languages #spanish #german #alphabets #urbanism #architecture #art #physics #science #futurism #ai
ユーザー企業の情シスに必要なのは、何はともあれ、まずは BA (Business Analysis) と ITIL だと思うんだよなー。
Die wahren Anforderungen sind im Kopf, Und sind sie nicht im Kopf, dann sind sie nirgendwo! 😆
Finally it arrived... and you shouldn't miss it. 🎉
My favorite (based only on the title) so far: "What BAs Need to Know about Machine Learning (ML) Projects - Anton Reshetnikov"
Who is not triggered by #machinelearning? 🤔
#machinelearning #businessanalysis #business
🧾Prozess: Stopfen eines Lochs einer Kanne
🧘♂️Business Analyst: Reinhard Mey
👷♀️Fachbereich: Reinhard Fendrich
Und a lezdes Moi: es gibt kane deppat'n Frogn. Und a kana deppat'n Antwortn. 😆
#businessanalysis #software #business
Data Analyst can Earn more then 😮 14 Lacs 🤑 Per Annum || 45% Increase in Data Analyst 👨💻👩💻
#python #businessanalysis #dataanalytics
#datascience #dataanalytics #artificialintelligence #businessanalysis
https://youtu.be/0k_dXhV78Xc
#python #businessanalysis #dataanalytics #datascience #artificialintelligence
Data Analyst can Earn more then 😮 14 Lacs 🤑 Per Annum || 45% Increase in Data Analyst 👨💻👩💻
DELHI
#python #businessanalysis #dataanalytics
#datascience #dataanalytics #artificialintelligence #businessanalysis
https://youtu.be/0k_dXhV78Xc
#python #businessanalysis #dataanalytics #datascience #artificialintelligence
DEEP... Deep as in "deep diver"? 🤿 Or deep as in "DEEP backlog: Detailed appropriately, Estimated, Emergent, and Prioritized"? 🤔
#softwaredevelopment #businessanalysis
If you are writing user stories, there is only one thing you should check. This acronym should a part of the Definition-Of-Ready-check before you start coding. When a use story fails to meet only one of these criteria, you should go back and rewrite it.
👉 Independent
👉 Negotiable
👉 Valuable
👉 Estimable
👉 Small
👉 Testable
#businessanalysis #requirements #softwaredevelopment
How do we compare and contrast potential API integration options? What evaluation criteria should we use? And is there a template that can simplify the process?
The answer to all three questions is in my latest Net API Note: https://netapinotes.substack.com/p/how-to-create-a-competitive-api-product #APIs #businessAnalysis #APIProducts
#apis #businessanalysis #apiproducts
The Build Trap... Great explanation by Melissa Perri. Sounds easy to escape it, but you have to find out that you are in the build trap first. Jumping to solutions (especial technical solutions) is very often a bad sign.
Btw this requirement of a dashboard appears in almost every project I have worked on. Either "We need a dashboard" or "We need an XLS report" -- both with #data in #realtime.
#data #realtime #businessanalysis #requirements
For IT to function better, the business side of the company has to get more involved.
Good read from McKinsey on digital integration at all levels.
#businesstransformation #tech #businessanalysis
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/businesss-its-not-my-problem-it-problem?stcr=70E65A2340DB4376BBD840622052446C&cid=other-eml-alt-mip-mck&hlkid=a34ab38e80384e2c8e8bf07c66965c8d&hctky=14431789&hdpid=1318a6af-3633-4a78-ad7f-6c8d5d002d8c
#businesstransformation #tech #businessanalysis
In #businessanalysis finding the right wording is important. And even in the #informationtechnology naming is one of the two hard things (besides cache invalidation and the off-by-one error 😉; see https://lnkd.in/d9gwCmJq). #DDD as a technique is stating the importance of an #UbiquitousLanguage.
But still, finding a correct name is hard. And we shouldn't think that the name changes the behavior of thing.
#businessanalysis #informationtechnology #ddd #UbiquitousLanguage
If you are not sure, simply use the phrase "It depends!" - no-one was ever sued because he said "It depends!" 😆
#businessanalysis #business #software
How ERP Software Supports Change Management
https://erpsolutions.oodles.io/developer-blogs/How-ERP-Software-Supports-Change-Management
#BusinessAnalysis #ERP #CustomERP #ERPSystem #ERPSoftware #ERPApplication
#businessanalysis #erp #customerp #erpsystem #erpsoftware #erpapplication
To ensure that AI is used in the best way possible, it should be treated as a tool to enhance our natural human creativity and problem-solving capabilities, rather than a replacement for them.
This way, we can make sure that #AI is used to its full potential for #BusinessAnalysis, while still allowing the #BusinessAnalyst to remain in control.
#ai #businessanalysis #businessanalyst
AI can be a great asset to help #BusinessAnalysis with brainstorming and content creation, but it's important to remember that it should be used in tandem with human input.
Instead of relying on AI to generate ideas, we can use it to provide further insights or to suggest new connections, allowing us to stay in control and make the final decisions while still taking advantage of AI's capabilities.