1 - Impact of analytics
Analytics and Data Benchmark Research
2 - Less common types of analytics
Analytics and Data Benchmark Research
3 - Percent of workforce using analytics
Analytics and Data Benchmark Research
4 - Deployment preference
Analytics and Data Benchmark Research
5 - Most important types of analytics
Analytics and Data Benchmark Research
6 - Nosql database adoption
Analytics and Data Benchmark Research
7 - Satisfaction in analytics and bi
Analytics and Data Benchmark Research
8 - Adequacy of ai/ml technology
Analytics and Data Benchmark Research
9 - Analytics and data deployments
Analytics and Data Benchmark Research
10 - Number of external data sources
Analytics and Data Benchmark Research
11 - Event streaming and confidence in data
Analytics and Data Benchmark Research
12 - Cloud analytics deployments
Analytics and Data Benchmark Research
13 - Ai/ml skills within organizations
Analytics and Data Benchmark Research
14 - Value of semantic models
Analytics and Data Benchmark Research
15 - Relational database adoption
Analytics and Data Benchmark Research
16 - Importance of embedded analytics
Analytics and Data Benchmark Research
17 - Use of streaming data in analytics processes
Analytics and Data Benchmark Research
18 - Alerts and notification technology
Analytics and Data Benchmark Research
19 - Robotic process automation
Analytics and Data Benchmark Research
20 - Importance of collaboration
Analytics and Data Benchmark Research
21 - Departments with most value
Analytics and Data Benchmark Research
22 - Deployment preference
Analytics and Data Benchmark Research
23 - Majority of time spent analyzing data
Analytics and Data Benchmark Research
24 - Adequacy of analytics and data technologies
Analytics and Data Benchmark Research
25 - Number of data sources
Analytics and Data Benchmark Research
26 - Data stewards by role
Analytics and Data Benchmark Research
27 - Cloud providers for analytics and data
Analytics and Data Benchmark Research
28 - Use of object stores in analytics efforts
Analytics and Data Benchmark Research
29 - Adequacy of analytics and data technologies
Analytics and Data Benchmark Research
30 - Team leading analytics and data efforts
Analytics and Data Benchmark Research
31 - Skills available to successfully use data
Analytics and Data Benchmark Research
32 - Satisfaction by analytics team lead
Analytics and Data Benchmark Research
33 - Adequacy of data technologies
Analytics and Data Benchmark Research
34 - Natural language search and presentation
Analytics and Data Benchmark Research
35 - Use of cloud for analytics and data
Analytics and Data Benchmark Research
36 - Frequency of data analysis
Analytics and Data Benchmark Research
37 - Adoption of conversational computing
Analytics and Data Benchmark Research
38 - Importance of ai
Analytics and Data Benchmark Research
39 - Adoption of natural language search
Analytics and Data Benchmark Research
40 - Importance of natural language presentation
Analytics and Data Benchmark Research
41 - Complaints about analytics and bi
Analytics and Data Benchmark Research
42 - Cloud computing platforms
Analytics and Data Benchmark Research
43 - Satisfaction v. frequency of analysis
Analytics and Data Benchmark Research
44 - Level of training v. satisfaction
Analytics and Data Benchmark Research
45 - Data preparation and integration
Analytics and Data Benchmark Research
46 - Data platforms for analytics
Analytics and Data Benchmark Research
47 - Top benefits of analytics
Analytics and Data Benchmark Research
48 - Most time in analytics process
Analytics and Data Benchmark Research
49 - Analytics and data barriers
Analytics and Data Benchmark Research
50 - Analytics and mobile devices
Analytics and Data Benchmark Research
51 - Analytics processes
Analytics and Data Benchmark Research
52 - Changing analytics?
Analytics and Data Benchmark Research
53 - Evaluating analytics
Analytics and Data Benchmark Research
54 - External sources for analytics
Analytics and Data Benchmark Research
55 - High velocity analytics
Analytics and Data Benchmark Research
56 - Most planned analytics
Analytics and Data Benchmark Research
57 - Reasons to change analytics
Analytics and Data Benchmark Research
58 - Satisfaction of analytics and data
Analytics and Data Benchmark Research
59 - Skills needed for analytics
Analytics and Data Benchmark Research
60 - Streaming data
Analytics and Data Benchmark Research
61 - System priorities for analytics
Analytics and Data Benchmark Research
1 - File formats
Data Lakes Dynamic Insight
2 - Satisfaction
Data Lakes Dynamic Insight
3 - Architecture
Data Lakes Dynamic Insight
4 - Workloads
Data Lakes Dynamic Insight
5 - Adoption
Data Lakes Dynamic Insight
6 - Virtualized access
Data Lakes Dynamic Insight
7 - Data lakes & data warehouses
Data Lakes Dynamic Insight
8 - Table formats
Data Lakes Dynamic Insight
9 - Challenges
Data Lakes Dynamic Insight
10 - Data management
Data Lakes Dynamic Insight
11 - Data platform storage
Data Lakes Dynamic Insight
12 - Benefits
Data Lakes Dynamic Insight
13 - Primary data platform
Data Lakes Dynamic Insight
14 - Departments benefiting
Data Lakes Dynamic Insight
1 - Trust in data
Data Governance Benchmark Research
2 - Published data governance policies
Data Governance Benchmark Research
3 - Governance by type of data
Data Governance Benchmark Research
4 - Impact of data governance barriers
Data Governance Benchmark Research
5 - Managing data governance
Data Governance Benchmark Research
6 - Business area focus of data governance
Data Governance Benchmark Research
7 - Applications focus of data governance
Data Governance Benchmark Research
8 - Data governance capabilities
Data Governance Benchmark Research
9 - Data governance implementations
Data Governance Benchmark Research
10 - Achieving single version of the truth
Data Governance Benchmark Research
11 - Business barriers to data governance
Data Governance Benchmark Research
12 - Use of cloud/saas for data governance
Data Governance Benchmark Research
13 - Data governance challenges
Data Governance Benchmark Research
14 - Governing data across the business
Data Governance Benchmark Research
15 - Common governed data sources
Data Governance Benchmark Research
16 - Analytics included in data governance
Data Governance Benchmark Research
17 - Technologies used for data governance
Data Governance Benchmark Research
18 - Data governance policy updates
Data Governance Benchmark Research
19 - Timeliness of policy updates
Data Governance Benchmark Research
20 - Shortcomings of data governance technologies
Data Governance Benchmark Research
21 - Role of lob personnel in data governance
Data Governance Benchmark Research
22 - Benefits of investing in data governance
Data Governance Benchmark Research
23 - Usage of data quality tools
Data Governance Benchmark Research
24 - Business barriers to data governance
Data Governance Benchmark Research
