Big Data in IT industry: Outlook, Challenges, and Business Benefits

Big Data in IT industry: Outlook, Challenges, and Business Benefits

Code: KAB-KG4600PR | Published: Sep-2015 | Pages: 45 | Kable
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Maximum share of executives confirmed that they are already using a big data platform within their organizations. This indicates that big data analytics is gaining momentum across the world and is rapidly emerging as the preferred solution to deal with changing business and technology requirements, compared to other traditional data management and processing tools. Moreover, maintaining strong business leadership and sponsorship is critical for successful adoption of big data initiatives within the organizations. Big Data platform provides highest potential benefits for marketing/brand management function. However, organizations identify certain challenges in managing big data such as complexity, lack of skill set, and privacy and security issues to access and deploy data.

Key Findings
- 47% of executives indicated that they are already using a big data platform within their organizations.

- Overall, 75% of executives from medium-sized companies identify that implementation of big data platforms makes their business more data-focused.

- Overall, 52% of executives' observe that investment in big data will provide greater business agility to their organizations.

- Organizations identify complexity, lack of skill set, and privacy and security issues to access and deploy data as the pressing challenges in managing big data.

Synopsis
Kable's Big Data in IT industry: Outlook, Challenges, and Business Benefits, examines executives' opinion on key business benefits influencing investment in big data projects, challenges faced in managing and securing profitable returns from big data, and the big data platforms which are projected to witness increasing prominence within the IT industry. Additionally, it provides information categorized by region and company type.

What else does this report offer?

- Adoption of big data platforms: provides information about the extent of use of big data platforms within organizations.

- Key drivers: examines the significant drivers influencing the use of big data within organizations.

- Factors influencing big data initiatives: analyzes factors responsible for successful adoption of big data initiatives within the organizations.

- Growth outlook: identifies how big data will affect organizations over the next five years.

- Business benefits: tracks the most important business benefits influencing organizations to invest in big data.

- Expected returns from big data: evaluates the expected returns on big data investments during the initial two years.

- Key implementation areas: projects the key business functions with highest potential benefits from big data platforms

- Big Data platforms: highlights the important big data platforms which are gaining prominence within the industry.

- Selection of big data platforms: identifies factors responsible for selecting a particular big data Platforms within the organizations.

- Concerns to implement big data: analyzes major concerns faced by organizations in managing big data.

- Challenges in securing profitable returns: identifies challenges involved in securing profitable returns on big data investments.

- Initiatives for successful implementation: highlights the steps implemented to overcome challenges encountered in managing big data.

Reasons To Buy
- Highlights key drivers and business priorities influencing the use of big data, thus helping organizations to realign business strategy.

- Assists companies' to create new priorities and focus mainly on building customer trust, transparency, and business capabilities for higher profitability.

- Drives organizations to reach their business goals at a faster pace and helps them in increasing their revenues and strengthen their customer relationships.

- Supports organizations in providing information about how big data delivers faster access to more relevant data for decision making and business strategy formation.

Table of Contents

1 Introduction
1.1 Definitions
1.2 Methodology and sample size
1.3 Respondent profile
2 Implementation, significance, and adoption of big data: key takeouts
2.1 Adoption of big data platforms within organizations
2.1.1 Highest percentage of executives confirmed that they are already using a big data platforms within their organizations
2.1.2 Percentage of executives who operate in Asia-Pacific use big data platforms more within their companies compared to those who operate in other regions
2.1.3 Overall, 59% of executives across large companies are currently using a big data platforms within their organizations
2.2 Significant drivers supporting big data platforms
2.2.1 Strengthening customer services and relationship by better understanding of consumer behavior is the key factor influencing the deployment of big data solutions
2.2.2 Improvement in decision making and business strategy formation is the key factor which is driving executives operating in North America to use big data
2.2.3 Medium-sized companies are more focused on increasing synergy among various business functions through adoption of big data
2.3 Factors accountable for successful adoption of big data initiatives
2.3.1 Strong business leadership and sponsorship is critical for successful adoption of big data initiatives within the organizations
2.3.2 Choosing appropriate technologies and accompanying partnership between business and IT functions are more important for small companies to adopt big data initiatives
3 Projected investment and business benefits of big data platforms
3.1 Business advantages through investment in big data
3.1.1 Greater insights into business/customers is identified as the significant business benefit gained by the organizations to drive investment in big data
3.1.2 The majority of respondents who operate in Asia-Pacific affirm that investment in big data will reduce their organization's operational costs and increase efficiencies
3.1.3 Reducing operational costs and increase efficiencies is the key business benefit influencing medium-sized companies to invest in big data
3.2 Expected returns from big data investments
3.2.1 In total, 26% of executives are expecting returns between 0%-25% on big data investments over the initial two years
3.2.2 Overall, 38% of executives who operate in the Rest of the World expect to incur returns between 0%-25% on big data investments during the initial two years
3.2.3 Overall, 25% of executives from medium-sized companies' expect returns of more than 100% from big data investments
3.3 Key implementation areas with highest potential benefits from big data platforms
3.3.1 Big Data platforms provides highest potential benefits for marketing/brand management function
3.3.2 Overall, 93% of respondents operating in Asia-Pacific identify that big data platforms is more useful for marketing/brand management
3.3.3 Executives from small companies confirm that their organization's sales department is going to benefit more with the implementation of big data platforms
4 Key big data platforms and implementation concerns within the organizations
4.1 Prominent big data platforms within the IT industry
4.1.1 The highest percentage of executives with business operations in Asia-Pacific indicate Apache Hadoop and NoSQL to gain prominence within the industry
4.1.2 Overall, 33% of executives from small companies identify Advanced SQL/NewSQL to gain importance within the industry
4.2 Factors influencing selection of big data platforms
4.2.1 Organizations observe data volume handling capacity and scalability as the key factor responsible for the implementation of big data platforms
4.2.2 The majority of executives from North America identify the ability to support diverse content format to have more impact on organizations for selecting big data platforms
4.2.3 Medium-sized companies identify higher processing speed as the major factor responsible for selecting the big data platforms
4.3 Pressing concerns towards implementation of big data
4.3.1 Organizations identify complexity, lack of skill set, and privacy and security issues to access and deploy data as the pressing challenges in managing big data
4.3.2 The majority of executives with business operations in North America are more worried about the complexity involved in managing big data
4.3.3 Lack of skill set is the critical concern for executives from medium-sized and small companies compared to large companies
4.4 Challenges encountered in securing profitable returns on big data investments
4.4.1 Determining which data to use for different business decisions is the major disadvantage in securing profitable returns on big data investments
4.4.2 Respondents operating in Asia-Pacific state that finding the optimal way to organize big data activities in a company as the major challenge in securing profits
4.4.3 Being able to handle the large volume, velocity, and variety of big data is the challenge which impedes medium-size organizations from securing profits
4.5 Potential initiatives for successful implementation of big data
4.5.1 The majority of organizations have implemented proof of concept to demonstrate value and effectiveness to overcome challenges encountered in managing big data
4.5.2 Overall, 33% of executives who operate in North America have introduced internally led business case workshop/socialization within their organizations
4.5.3 Overall, 75% of executives from medium-sized companies have implemented proof of concept to demonstrate value and effectiveness to manage big data challenges
5 Appendix

List of Figures


Figure 1: Profile of Respondents
Figure 2: Implementation, significance, and adoption of big data: key takeouts - Key Takeouts
Figure 3: Adoption of big data platforms within organizations - Overall
Figure 4: Adoption of big data platforms within organizations - Region
Figure 5: Adoption of big data platforms within organizations - Company types
Figure 6: Significant drivers supporting big data platforms - Overall
Figure 7: Top four significant drivers supporting big data platforms - Region
Figure 8: Top four significant drivers supporting big data platforms - Company types
Figure 9: Factors accountable for successful adoption of big data initiatives - Overall and Region
Figure 10: Top three factors accountable for successful adoption of big data initiatives - Company types
Figure 11: Projected investment and business benefits of big data platforms: key takeouts
Figure 12: Projected influence of big data on organizations - Overall
Figure 13: Projected influence of big data on organizations - Top three responses by region
Figure 14: Projected influence of big data on organizations - Top three responses by company types
Figure 15: Expected returns from big data investments - Overall
Figure 16: Expected returns from big data investments - Region
Figure 17: Expected returns from big data investments - Company types
Figure 18: Key implementation areas with highest potential benefits from big data platforms
Figure 19: Top four implementation areas with highest potential benefits from big data platforms - Region
Figure 20: Top four implementation areas with highest potential benefits from big data platforms - Company types
Figure 21: Key big data platforms and implementation concerns within the organizations: key takeouts
Figure 22: Prominent big data platforms within the IT industry - Overall and Region
Figure 23: Prominent big data platforms within the IT industry - Company types
Figure 24: Factors influencing selection of big data platforms - Overall
Figure 25: Top four factors influencing selection of big data platforms - Region
Figure 26: Top four factors influencing selection of big data platforms - Company types
Figure 27: Pressing concerns towards implementation of big data - Overall
Figure 28: Top four pressing concerns towards implementation of big data - Region
Figure 29: Top four pressing concerns towards implementation of big data - Company types
Figure 30: Challenges encountered in securing profitable returns on big data investments - Overall
Figure 31: Challenges encountered in securing profitable returns on big data investments - Region
Figure 32: Challenges encountered in securing profitable returns on big data investments - Company types
Figure 33: Potential initiatives for successful implementation of big data - Overall
Figure 34: Top five potential initiatives for successful implementation of big data - Region
Figure 35: Top five potential initiatives for successful implementation of big data - Company types
IBM
Software AG
Wipro
Mtelligence Corporation
MapR Technologies
Teradata Corporation
Flytxt
CenturyLink
Orchestrate
Microsoft
Google
News Corp

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