why your data and analytics should live in the cloud

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Why Your Data & Analytics Should Live in the CloudIncluding Five Best Practices

Dave MenningerVentana Research, SVP & Research Director

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Why Should Partners Attendees Care?

© 2016 Ventana Research

Why Your Data & Analytics Should Live in the Cloud

Including Five Best PracticesDavid Menninger

SVP & Research DirectorVentana Research@dmenningerVR


David MenningerSVP & Research Director, Ventana Research

David is responsible for the overall research direction of data, information and analytics technologies at Ventana Research covering major areas including Analytics, Big Data, Business Intelligence and Information Management along with the additional specific research categories including Information Applications, IT Performance Management, Location Intelligence, Operational Intelligence and IoT, and Predictive Analytics. David is also responsible for examining the role of cloud computing, collaboration and mobile technologies as they affect these areas. David brings to Ventana Research over twenty five years of experience, through which he has marketed and brought to market some of the leading edge technologies for helping organizations analyze data to support a range of action-taking and decision-making processes. Prior to joining Ventana Research, David was the Head of Business Development & Strategy at Pivotal a division of EMC, VP of Marketing and Product Management at Vertica Systems, VP of Marketing and Product Management at Oracle, Applix, InforSense and IRI Software. David earned his MS from Bentley University and a BS in Economics from University of Pennsylvania. David can be found on Twitter at @dmenningervr and on LinkedIn and reached via email at [email protected] and read his analyst perspectives at http://davidmenninger.ventanaresearch.com.


Conducted Research on Data and Analytics in the Cloud

Responses include:• Cross section of industries• Various size organizations• User and management• Line of business and IT• Worldwide participants• Over 200 qualified responses

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Data and Analytics in the Cloud

Enabling Access and Integration through Cloud Computing

Research Report

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Trends in Cloud-based AnalyticsIt’s No Longer Exotic!

Yes, we have used it for more than one year.,

18%

Yes, we began to use it within

the last 12 months.

30%

Not yet, but we will

begin to use it within 12

months.19%

Not yet; we intend to use it, but do not know when.,

31%

No, we do not use or intend to use it., 1%

Source: Ventana Research Data And Analytics In The Cloud Benchmark Research


How Are Organizations Using Cloud-based Analytics

• Access to external data sources (often cloud-based)

• …but not only cloud based data

• Integrate data into all types of analytics

• Data is available and needs to be integrated often


Access external data sources (often cloud based)

Cloud-based business applications, Social media and Internet information sources are the most important data sources for cloud-based analytics.

61%

48%

42%

33%

29%

27%

19%

17%

16%

9%

4%

3%

Cloud-based business applications (e.g., Salesforce.com)

Social media (e.g., Facebook, LinkedIn, Twitter)

Internet information sources (e.g., Google, wikis)Government sources

(e.g., U.S. census)Market sources (e.g., Nielsen,

SymphonyIRI)Data brokers (e.g., Acxiom,

Experian, DataSift)

Other Web applications

Sensor data from devices and machines on Internet

Location sources (e.g., TomTom)

Weather sources

Wearable computing (e.g., smart watches)

Other

Source: Ventana Research Data And Analytics In The Cloud Benchmark Research


Not Just Cloud-based Data

61%

47%

38%

29%

17%

21%

23%

23%

On-premises to on-

premises

Cloud to on-premises

On-premises to

cloud

Cloud to Cloud

Currently support Plan to support within 12 months


Cloud-based Data Used in all Types of Analytics

Query and reporting, 59%

Data discovery, 58%

Forecasting, planning or what-if analysis, …

Predictive analytics or advanced …

Exploration of data, 50%


Data is Readily Available and Integrated OftenTwo thirds integrate daily One third integrate multiple times / day

21% integrate their cloud based data sources in real time.

Those who integrate daily or more often are more satisfied and more confident in their results.


How Cloud-based Analytics Help Organizations

Top three benefits

53%

52%

49%

Improved presentation of

data and analytic results to end …

Improved data quality and data

management

Gained access to many different data sources


Best Practice: Use Cloud-based Analytics Across Departments

•We see cloud-based analytics used in all functions

•Most common:-Analytics and BI are rated the most important

-Marketing, sales and customer service next

•Nearly half (47%) say cloud analytics important to 3 or more departments

54%

34%

31%

30%

23%

23%

20%

16%

16%

13%

7%

3%

Analytics and/or business …

Marketing

Sales

Customer service

Accounting …

Finance (e.g., planning, …

Product information or …

Supply chain …

Human capital …

Commerce

No cloud-based …

Other


Best Practice: Integrate Data to Enable Analytics

•Analytics require data•We see all types of analytics requiring cloud-based data•Those who focus on integration more likely to report benefits

62%

59%

57%

43%

53%

49%

Improved presentation of data and analytic results

to end users

Improved data quality and data management

Gained access to many different data sources


Best Practice: Include Big Data in Cloud-based Analytics

• Managing big data systems can be a challenge

• Four out of ten plan to manage majority of their

big data in the cloud within 12 months

• Big data technologies can serve as consolidation point

• Big data technologies help deal with “new” types of data

• These pools of big data can be made available quickly


Best Practice: Consider New Tools for Data Preparation

•As in previous research, data preparation continues to consume the most time

•Almost half using spreadsheets to integrate and prepare data-But, 58% said it hampers their efficiency•Newer tools provide better results:

78%

86%

0% 50% 100%

UsingToolsfromCloudApplicationProvider

UsingToolsDesignedforCloudComputing

Satisfaction

Average


Best Practice: Empower Business Users With Modern Tools• Part of the premise of cloud-based

computing is reduced reliance on IT• Usability perennially the most important

evaluation criterion • Minority are able to analyze data

without IT (40%)• Those operate without IT:- Are more confident

(77% v 44%)- And more satisfied

(74% v 58%)


Conclusions/Wrap up

Number of data sources is proliferating

Need to incorporate all of these sources into analyses

Big data and cloud technologies can make these processes easier

Self service has a positive impact on results

Follow these best practices to help your organization mature in its cloud-based analytics

Thank You

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