問題一覧
1
Organizational barriers to adopting new technologies.
resistance to change
2
Managed by cloud providers (e.g., AWS, Google Cloud, Azure).
cloud data centers
3
Software for data visualization and analysis (e.g., Power BI, Tableau).
BI tools
4
Historical data analysis (What has happened?)
descriptive analytics
5
Central repository of integrated data from multiple sources.
data warehousing
6
Predicting budget and revenue trends.
financial forecasting
7
Structured data stored in tables.
relational databases
8
Protection against cyberattacks and ensuring compliance with regulations.
security
9
Flexible, schema-less databases for unstructured data.
non-relational databases
10
Rent space for servers.
colocation data centers
11
Owned by a single organization.
enterprise data centers
12
Difficulty in integrating data from various sources.
data silos
13
Forecasting trends using statistical models (What might happen?).
predictive analytics
14
It is a facility that houses computer systems, telecommunications, and storage components.
data center
15
Tracking customer behavior, trends, and segmentation.
sales and marketing analytics
16
Backup and replication to ensure data continuity.
disaster recovery
17
Providing recommendations (What should we do?).
prescriptive analytics
18
Ensuring the accuracy and cleanliness of data.
data quality
19
Visual representation of data structure and relationships
entity-relationship diagrams
20
Identifying inefficiencies in processes.
operational efficiency
21
It is a software system that manages and organizes data efficiently.
database system
22
Ability to increase or decrease computing resources as needed.
scalability
23
Process for gathering and cleaning data.
ETL(extract, transform, load)
24
It refers to the strategies and technologies used for analyzing business data to aid decision-making.
business intelligence