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Wiki source code of Friday 14 February 2025

Version 6.2 by dennis yoshikawa on 2025/02/14 01:13

version	line-number	content
1.1	1	= Weekly Report 14 February 2025 =
	2
	3
2.4	4	== (% id="cke_bm_29973S" style="display:none" %) (%%)Data Engineer ==
	5
	6	>What Have You Done in This Week?
	7
	8	(((
	9	{{success}}
	10	What Have You Done?
	11	{{/success}}
	12
6.2	13	* Airflow-airbyte maintenance
2.4	14
6.2	15	~1. create task for delete gcs folder table dharmadexa
	16	2. ⁠change incremental method in airbyte for tb)
	17
	18
	19	* ⁠D2D
	20
	21	~1. enhance logic stickness rate (mart)
	22	2. ⁠weekly regrup w/product
	23
	24	* MCN
	25
	26	~1. troubleshoot on DAG and resource
	27	2. ⁠repointing new database for all pipeline existing
	28
	29	* Screening
	30
	31	~1. regroup w/PM and DA for validate data and discuss funneling data
	32	2. enhance logic fact table dharmadexa
	33	3. ⁠preparation dharmadexa data phase 3 (funneling)
	34	4. ⁠testing geo.py to get city from long lat
	35	5. ⁠migrasi dataset cleaned_screening_merck.dim_screening_stunting to CH
	36
2.4	37	{{warning}}
	38	What Issues You Have?
	39	{{/warning}}
	40
	41	1. xxx
	42	1. xxx
	43	1. xxx
	44
	45	{{info}}
	46	What Next You Will Do? (Optional)
	47	{{/info}}
	48
	49	1. xxx
	50	1. xxx
	51	1. xxx
	52
	53	What Support You Need? (Optional)
3.1	54
	55
	56	----
	57
	58
2.4	59	)))
	60
	61
3.2	62	== (% id="cke_bm_29973S" style="display:none" %) (%%)Data Analyst ==
1.1	63
2.2	64	>What Have You Done in This Week?
	65
	66	(((
3.1	67	{{success}}
2.2	68	What Have You Done?
3.1	69	{{/success}}
2.2	70
3.2	71	1. Dharma Dexa Phase 2 – Completed the second phase of Dharma Dexa.
	72	1. Migration from Looker to Metabase – Transitioning data visualization and analytics from Looker to Metabase.
	73	1. Redesigned DKonsul Data – Improved the structure and organization of DKonsul data.
	74	1. Ad-hoc Requests – Handled various on-demand data requests.
1.3	75
3.1	76	{{warning}}
1.3	77	What Issues You Have?
3.1	78	{{/warning}}
1.3	79
3.2	80	1. Metabase Limitations – Limited chart options and flexibility in customization, particularly a lack of aggregation functions.
1.3	81
3.1	82	{{info}}
1.3	83	What Next You Will Do? (Optional)
3.1	84	{{/info}}
1.3	85
3.2	86	1. Continue Redesigning DKonsul Data
	87	1*. Refining the data funnel from consultation → prescription → transaction.
	88	1. Continue Migration to Metabase – Ensuring a smooth transition from Looker to Metabase.
	89	1. Dharma Dexa Phase 3 – Proceeding with the next phase of the Dharma Dexa project.
	90	1. AppSheet MCN Visit Tracker Dashboard – Developing and optimizing the dashboard.
1.3	91
3.1	92	What Support You Need? (Optional)
3.2	93
	94	1. Data Validation – Ensuring data accuracy and consistency.
	95	1. Dharma Dexa Screening Enhancements
	96	1. Assigning a new screening ID* for each event, especially if different questions and inputs are involved.
	97	1. Adding location input (province, city)* for better analysis.
1.3	98	)))
	99
	100
3.1	101	----
2.2	102
2.1	103	== Data Analyst & AI ==
	104
2.2	105	>What Have You Done in This Week?
	106
	107	(((
2.3	108	{{success}}
2.2	109	What Have You Done?
2.3	110	{{/success}}
2.2	111
4.3	112	AUTOMARK
2.1	113
4.20	114	1. Deploy, evaluate and making documentation of Screening Dharma Dexa API to be accessed by Tech team. The API is deployed at [[https:~~/~~/datalake.ptgue.com/v1/users_dd>>https://datalake.ptgue.com/v1/users_dd]] and the documentation is already sent to Tech team. The API could be accessed using prompt to retrieve user that relevant to the prompt. Per 13 Feb 2024, the RAG Accuracy is 87,50%
4.17	115	1. Deploy, evaluate and making documentation of master user GUE Ecosystem to be accessed by Tech team. The API is deployed at [[https:~~/~~/datalake.ptgue.com/v1/users>>https://datalake.ptgue.com/v1/users_dd]] and the documentation is already sent to Tech team. The API is already tested by Tech team and have no issues.
4.3	116
4.7	117	MCN
4.3	118
4.20	119	1. Fixing resource spike issue caused by scraping schedule. The issue is already fixed and pass the test for 3 days (wednesday, thursday, and friday). Scraping time is decreased from 1 minute per user to the maximum of +-20 seconds per user. (Pairing with Syifa-DE)
	120	1. Repoint, re-align, and redesign the pipeline and database that being consumed for scrapping. (Pairing with Syifa-DE)
4.7	121
4.14	122	Automation
4.7	123
4.20	124	1. Implement compliance mapping with the newest data from compliance team
	125	1. Data, flow, and script validation for user report performance doctor. The sample report is already validated by dr.Astrid
4.13	126
4.15	127	Others
4.14	128
4.15	129	1. Reqeust + enhance dashboard merck
	130	1. Request dkonsul data for online doctors, transactions, prescriptions, Dexa prescriptions, comparison new users january
4.17	131	1. Request data ICD-10
4.3	132
2.3	133	{{warning}}
2.1	134	What Issues You Have?
2.3	135	{{/warning}}
2.1	136
4.22	137	1. There is no info regarding database repointing of MCN from tech team. So, the data is not updated. Already solved by coordinating with Product Team
5.1	138	1. Need to enhance the RAG accuracy to around 90%
2.1	139
2.3	140	{{info}}
2.1	141	What Next You Will Do? (Optional)
2.3	142	{{/info}}
2.1	143
5.1	144	1. Increase RAG accuracy by adding more train query LLM
	145	1. Start daily recurring scraping for tiktok dashboard
	146	1. Start dkonsul insight next week
2.1	147
2.4	148	What Support You Need? (Optional)
2.2	149
6.1	150
	151	=== Summary ===
	152
	153	Berikut ringkasan laporan mingguan dari 14 Februari 2025 yang ditulis oleh Haekal Yusril Faizin. Laporan ini merangkum aktivitas dan isu dari tim Data Engineer, Data Analyst, dan Data Analyst & AI.
	154
	155	Data Analyst
	156
	157	* Menyelesaikan fase kedua Dharma Dexa.
	158	* Memindahkan visualisasi data dan analitik dari Looker ke Metabase.
	159	* Mendesain ulang data DKonsul untuk struktur dan organisasi yang lebih baik.
	160	* Menangani berbagai permintaan data on-demand.
	161
	162	Data Analyst & AI
	163
	164	* Menerapkan, mengevaluasi, dan mendokumentasikan API Screening Dharma Dexa untuk diakses oleh tim Tech.
	165	* Menerapkan, mengevaluasi, dan mendokumentasikan master user GUE Ecosystem untuk diakses oleh tim Tech.
	166	* Memperbaiki masalah lonjakan sumber daya yang disebabkan oleh jadwal scraping.
	167	* Merepoint, menyelaraskan ulang, dan mendesain ulang pipeline dan database yang digunakan untuk scraping.
	168	* Menerapkan pemetaan kepatuhan dengan data terbaru dari tim kepatuhan.
	169	* Memvalidasi data, alur, dan skrip untuk kinerja laporan pengguna dokter.
	170
	171	Isu
	172
	173	* Pilihan bagan dan fleksibilitas yang terbatas dalam kustomisasi Metabase.
	174	* Kurangnya informasi mengenai database repointing MCN dari tim teknologi.
	175	* Perlu meningkatkan akurasi RAG menjadi sekitar 90%.
	176
	177	Langkah Selanjutnya
	178
	179	* Melanjutkan desain ulang data DKonsul dan migrasi ke Metabase.
	180	* Melanjutkan dengan Dharma Dexa Fase 3 dan mengembangkan Dasbor Pelacak Kunjungan AppSheet MCN.
	181	* Meningkatkan akurasi RAG, memulai scraping berulang harian untuk dasbor TikTok, dan memulai wawasan DKonsul minggu depan.
	182
	183	Dukungan yang Dibutuhkan
	184
	185	* Validasi data dan peningkatan penyaringan Dharma Dexa.
2.1	186	)))

Wiki source code of Friday 14 February 2025

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