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TechValidate Research on IBM Analytics

43 Charts – Page 1 of 2


IBM Master Data Management solutions Customer Research

What business benefits have you realized since adopting IBM MDM?

Improved quality and/or availability of data
71%
Better performance and scalability
14%
Greater competitive advantage with better decision making
17%
Increased breadth of capabilities available to the business
31%
Higher return on investment from our data
9%
Improved compliance with regulatory guidelines
23%

IBM Master Data Management solutions Customer Research

Top 5 Reasons Companies Choose IBM Master Data Management (MDM) Solutions

What were the top reasons / business imperatives that drove your decision to adopt IBM MDM?

Increase data accuracy / availability
69%
Create better collaboration around data
51%
Improve analysis and decision making
34%
Support Big Data projects
23%
Facilitate web-based business processes
17%
Other
20%

IBM SPSS Modeler Customer Research

SPSS Clients Leverage Open Source for Better Anaytics

What open source technologies do you currently use for your analytics?

R
55%
Python
40%
Hadoop
22%
Spark
16%

IBM SPSS Modeler Customer Research

SPSS Modeler Delivers Business Impact

Quantify the return on investment that your organization has experienced since moving to IBM SPSS Modeler.

S Over 100% S 76-100% S 51-75% S 26-50% S Under 25%

Staff time savings
Reduced cost
Better decision making
Greater operational efficiency
Improved profitability

IBM SPSS Modeler Customer Research

Please estimate the business improvement that you have seen from using IBM SPSS Modeler compared to previous approaches.

S Over 100% S 76-100% S 51-75% S 26-50% S Under 25%

Reduced customer churn
Higher employee retention
Reduced fraud
Business / Revenue growth
Competitive advantage

IBM SPSS Modeler Customer Research

Open source technologies used by IBM SPSS Modeler customers

What open source technologies do you use for analytics?

R
63%
We don't use open source technologies for our analytics
31%
Python
25%
Hadoop
13%
Spark
6%

IBM SPSS Customer Research

What analytics tools customers used prior to adopting IBM SPSS Modeler

What analytics solution(s) were you using prior to implementing IBM SPSS?

Spreadsheets
43%
IBM SPSS Statistics
40%
Open source (R, Python)
30%
In-house solution
26%
SAS Enterprise Modeler
11%
IBM Cognos Analytics
10%
KNIME Analytics Platform
3%
Microsoft Azure
3%
RapidMiner Studio
3%
SAP Predictive Analytics
3%
Statsoft Statistics
3%

IBM DB2 Customer Research

Reasons Why Companies Choose IBM DB2

How important were the following criteria when you selected DB2 as the database for your application(s)?

S Very Important S Important S Neutral S Not Important

High availability
Scalability
Integration capabilities
Performance
Security

IBM DB2 Customer Research

Top Seven Reasons Why Companies Switch to DB2

What benefits have you experienced since moving your application(s) to DB2?

Better performance
50%
Higher availability
45%
Cost savings
30%
Time savings
30%
Greater scalability
28%
Stronger security
27%
Happier users
19%

IBM DB2 Customer Research

Top Five Reasons Why Companies Switch from Oracle to DB2

What challenges were you facing that led you to choose DB2?

Problems scaling the database
33%
Too much time managing the database
33%
Cost was too high
31%
Slow application performance
29%
Difficulty integrating with other data services
25%

IBM DB2 Customer Research

Top Five Reasons Why Companies Switch from SQL to DB2

What challenges were you facing that led you to choose DB2?

Problems scaling the database
33%
Too much time managing the database
33%
Cost was too high
31%
Slow application performance
29%
Difficulty integrating with other data services
25%

IBM DB2 Customer Research

Reasons Why Companies Choose IBM DB2

How important were the following criteria when you selected DB2 as the database for your application(s)?

S Very Important S Important S Neutral S Not Important

High availability
Scalability
Integration capabilities
Performance
Security

IBM DB2 Customer Research

Top Five Reasons Companies Switch to IBM DB2

What challenges were you facing that led you to choose DB2?

Problems scaling the database
33%
Too much time managing the database
33%
Cost was too high
31%
Slow application performance
29%
Difficulty integrating with other data services
25%

IBM SPSS Modeler Customer Research

Top Seven Benefits of Using IBM SPSS Modeler

What are the benefits you’ve experienced since adopting IBM SPSS Modeler?

Ease of use
55%
Powerful data preparation and manipulation
49%
Extensive range of analytic techniques
42%
Value for technical and non-technical users
42%
Ability to access a broad range of data sources
36%
Scalability options
25%
Support for open source Technologies
22%

IBM SPSS Modeler Customer Research

Why Companies Choose IBM SPSS Modeler

What challenges were you facing before moving to IBM SPSS Modeler?

Difficulty preparing and manipulating data
33%
Not friendly for non-technical users
29%
Too time consuming to conduct analysis
28%
Inability to combine diverse data types
27%
Lack of scalability
26%
Limited integration capabilities
26%

IBM SPSS Modeler Customer Research

Top Ten Ways People Use IBM SPSS Modeler

What business function(s) do you address with IBM SPSS Modeler?

Understanding customer behavior
43%
Improving marketing performance
29%
Improving forecasting accuracy
28%
Retaining the most profitable customers
27%
New customer acquisition
25%
Increasing customer satisfaction
23%
Reducing and preventing fraud
23%
Identifying cross-sell and up-sell opportunities
22%
Improving program effectiveness
22%
Reducing marketing spending
18%

IBM IIG Solutions Customer Research

Top Five Benefits for Using IBM IIG Solutions

In what ways do you believe your organization has benefited from using IBM Information Integration and Governance solutions?

Better data quality and accuracy
36%
Improved governance of our data
32%
Increased ability to prove compliance
18%
More informed decision making
18%
Comprehensive view of data
14%

Top 6 benefits for enterprises using cloud data services

How have you improved your business using cloud data services?

It saves developer and database administrator time
61%
It frees my team to focus on new capabilities instead of database issues
45%
It saves me money in staff, hardware, and overhead
45%
I don't have to worry about losing data
38%
It helps me get new features to market faster
33%
It allows me to support more users and scale my business faster
29%

Banks Report a Significant ROI Using IBM Cloudant

How much have you benefited in each of the following areas?

S More than 100% S 76-100% S 51-75% S 26-50% S Less than 25%

Better application performance
Staff time saved
Happier users
Less money spent
Faster feature development

Major Banks Make the Move To IBM Cloudant

Were you using a different database prior to selecting IBM Cloudant? If so, which one?

DB2
58%
Oracle
58%
Microsoft SQL Server
42%
MongoDB
33%
MySQL
33%
PostgreSQL
17%
Google AppEngine
8%

Banks Rely on the Enterprise Class Features of IBM Cloudant’s Managed Service

How important were the following managed service features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

High availability
Fast deployment
Low upfront cost
Customer support
Access to database experts

Top Database Features That Lead Banking Institutions to Select IBM Cloudant

How important were the following database features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

Scalability
Fault tolerance
Search / Ad-hoc query
Offline use and sync
Geospatial capabilities

Top 6 Reasons Financial Institutions Use IBM Cloudant

What challenges were you facing before you started using IBM Cloudant?

Difficulty with data integration
33%
Slow application performance
33%
Problems scaling the database
25%
Problems changing schemas
17%
Challenges with data migration
17%
Time spent managing the database
17%

Enterprises Demonstrate a Measurable ROI With IBM Cloudant

How much have you benefited in each of the following areas?

S More than 100% S 76-100% S 51-75% S 26-50% S Less than 25%

Less money spent
Staff time saved
Faster feature development
Better application performance
Happier users

Large Enterprises Are Moving Their Apps to IBM Cloudant

Were you using a different database prior to selecting IBM Cloudant? If so, which one?

MySQL
44%
Oracle
38%
DB2
31%
MongoDB
29%
CouchDB
24%
Microsoft SQL Server
23%
PostgreSQL
15%
Amazon RDS
11%

Top Managed Service Capabilities That Lead Large Enterprises to Choose IBM Cloudant

How important were the following managed service features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

High availability
Fast deployment
Low upfront cost
Access to database experts
Customer support

Top Database Features That Lead Large Enterprises to Select IBM Cloudant

How important were the following database features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

Scalability
Fault tolerance
Offline use and sync
Search / Ad-hoc query
Geospatial capabilities

Top 5 Reasons for Selecting the IBM Cloudant Managed Service

How important were the following managed service features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

High availability
Fast deployment
Low upfront cost
Access to database experts
Customer support

Top Five Reasons for Choosing IBM Cloudant

How important were the following database features when selecting IBM Cloudant?

S Very important S Important S Neutral S Not important

Scalability
Fault tolerance
Offline use and sync
Search / Ad-hoc query
Geospatial capabilities

Top 6 Benefits of Using IBM Cloudant

How have you benefited from using the IBM Cloudant?

Less developer/database time
61%
Focus on new features
45%
Money saved in staff, hw, overhead
44%
Less worries about losing data
38%
Features to market faster
33%
Enable business to scale faster
29%



More Research on IBM Analytics