Visual discovery tools
-
Upload
bi-leadership-forum -
Category
Technology
-
view
557 -
download
1
Transcript of Visual discovery tools
Visual Discovery Tools
April 15, 2013
What is the status of visual discovery tools in your organization?
No plans
Under consideration
Under development
Partially deployed
Fully deployed
10%
24%
18%
30%
19%
Which best describes the scale and scope of your visual discovery deployments?
Not deployed
Departmental
Business unit
Enterprise
Other
3%
25%
29%
39%
5%
How many separate instances of visual discovery tools exist in your organization?
0
1 to 2
3
4 to 5
6 to 10
11 to 20
21+
2%
49%
14%
7%
10%
6%
12%
To what degree has your organization linked separate instances of visual discovery tools?
None - Instances are not linked; each are islands of information
Some - Some instances share data and definitions, but most don't
Most - Most instances share data and definitions, but not all
All - All instances share data and instances
19%
45%
15%
20%
Which data sources are accessed by your visual discovery tools?
Enterprise data warehouse
Local files (e.g. Excel)
Enterprise applications (e.g. ERP)
Departmental data martDepartmental applications
(ERP/CRM)External data
Web services
Hadoop/NoSQL
Other
72%
58%
52%
49%
44%
31%
12%
10%
5%
On average, how many sources of data do your visual discovery tools display within a single application?
1 to 2
3
4 to 5
6 to 10
11 to 20
21+
54%
22%
14%
2%
4%
5%
What is the corporate policy regarding the use of visual discovery tools?
Standardize on the tools for creating enterprise dashboards
No corporate policy needed
Standardize on the tools for business analysts
Standardize on the tools for creating departmental dashboards
Prohibit departments from purchasing the tools
Require the departments to point the tools at the EDW
38%
35%
32%
30%
14%
13%
Which vendors supply you with visual discovery tools?
TableauMicrosoft
QlikTechSAP Business Objects
IBM CognosMicrostrategy
OtherSAS Institute
Tibco SpotfireInformation Builders
SiSenseActuateAdvizorAlteryx
53%35%
30%27%
20%19%
17%12%
9%3%
2%2%
1%1%
Who are the primary users of your visual discovery tools?
Casual users
Power users
Both equally
9%
44%
47%
To what degree do casual users use the following functions in the visual discovery tool? (Only “high” responses displayed)
Monitor predefined metrics
Connect to, explore, and analyze a single data source
Analyze predefined metrics
Connect to, explore, and analyze multiple data source
Conduct what-if analysis
Author and publish dashboards
Enter or update data
Transform, clean, and/or combine data
Apply data mining algorithms (e.g. regressions)
37%
24%
22%
15%
11%
7%
4%
4%
4%
To what degree do power users use the following functions in the visual discovery tool? (Only “high” responses displayed)
Connect to, explore, and analyze a single data source
Connect to, explore, and analyze multiple data source
Analyze predefined metrics
Monitor predefined metrics
Conduct what-if analysis
Author and publish dashboards
Enter or update data
Transform, clean, and/or combine data
Apply data mining algorithms (e.g. regressions)
59%
55%
49%
37%
37%
33%
21%
21%
20%
How do each of the following groups rate the value of visual discovery tools compared to other BI tools in use at your organization?
Much better
Better
Neutral
38%
43%
18%
28%
40%
31%
13%
32%
49%
24%
43%
31%
ExecutivesIT department headsBusiness department headsBusiness users
Which BI tools has your organization officially standardized on?
Reporting/dashboard tool
Ad query/analysis tool
Visual discovery tool
Multidimensional OLAP tool
Real-time analytics/dashboard tool
Data mining tool
87%
70%
56%
45%
31%
21%
To what degree did the following drive the decision to implement visual discovery tools?
Better visualization
Easier to use
Self-service analysis
Fast-changing business requirements
Self-service authoring
Quicker to deploy
Faster queries
Faster data integration
More affordable
78%
77%
66%
53%
51%
51%
45%
33%
25%
To what degree has your organization experienced the following challenges with visual discovery tools?
Complexity - Sourcing data from complex ERP/CRM applications
Consistency - Maintaining data consistency across environments
Funding - Getting executives to expand to fund the installation or expansion of the software
Data quality - Idetnifying and fixing data quality errors
Scalability - Maintaining performance as numbers of users and volume of data increases
Performance - Meeting SLAs for response times
Integration - Integrating the tools with other information environments
33%
33%
32%
31%
27%
21%
21%
What are the future plans for the deployment of visual discovery tools?
Expand deployment
Maintain, but not expand
Decrease deployment
84%
13%
2%
What prevents you from deploying visual discovery tools?
Our budget is tapped out
We already have suitable BI tools
Not a corporate standard
Fear of proliferating spreadmarts
Don't know enough about visual discovery tools
Performance and scalability issues
Other
Not enough value for the price
35%
29%
27%
25%
19%
18%
18%
12%