Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Analytics SolutionsOrganizations become data-driven, spurring demand for analyticsIBM HorizonWatch 2016 Trend Report – External Version
Stacy Novack, Distinguished MI Professional, Manager, Market Development - Software SolutionsCraig Doyle, Senior Advisor, Analytics BU, Market Development, IBMBill Chamberlin, bluemine Product Manager, HorizonWatch April 10, 2016
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Purpose: The slides provide an overview on the Analytics Solutions trend
Content: Summary information about the Analytics Solutions marketplace, including trends drivers, spending trends, industry business cases, and adoption challenges. Also included are links to additional resources.
How To Use This Report: This report is best read/studied and used as a learning document. You may want to view the slides in slideshow mode so you can easily follow the links
Available on Slideshare: This presentation (and other HorizonWatch Trend Reports for 2016) will be available publically on Slideshare at http://www.slideshare.net/horizonwatching
Please Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Analytics – Trend Overview
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Drivers Growth in Big Data…both structured and unstructured Business Leaders know the data exists, but need tools to
draw insights out of the data Continued advances in analytics algorithms & modeling Advances in open source platforms such as Apache Hadoop
& Linux
Challenges Analytic tools tend to be too complex, requiring skilled
resources. Embedding analytics into an existing business apps
infrastructure Generating insights out of complex metadata is not easy Security, performance, scalability Predictive models need to translate to action, rather than
simply being an intellectual exercise
Implications The ability to pull value from data can lead to competitive
differentiation New processes, skills/training, and business leadership is
required Needed: Better dashboard tools, designed for business users
and available on mobile devices
Key Insights
“Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data inside and outside the enterprise are analyzed.” Gartner
VentureBeat: 5 data analytics trends to watch in 2016
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Ten trends to watch in Analytics Solutions during 2016
1. Organizations become more data-driven, spurring analytics solution demand. Enterprises worldwide increasingly adopt analytics solutions to reduce costs and fuel business outcomes.
2. Improved back- and front-office solutions. Customers value solutions that improve performance and operational efficiency, reduce risk and assist with compliance processes.
3. IT and LOB participate in both buying decisions and deployments. Vendors must be sensitive to internal dynamics when delivering forward-thinking advice and technical expertise.
4. Demand for prepackaged solutions. Increased influence of line-of-business (LOB) buyers in IT purchase decisions drives demand for prepackaged and self-service analytics solutions
5. Traditional vendors focus on filling solution gaps. Alliances, acquisitions and R&D used to meet growing demand for industry- and domain-specific solutions, cloud delivery and integration of multiple data sources.
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“By 2020, 50% of all business analytics software will incorporate prescriptive analytics built on cognitive computing functionality.” IDC: IDC FutureScape: Worldwide Big Data and Analytics 2016 Predictions
“By 2018, more than half of large organizations globally will compete using advanced analytics and proprietary algorithms, causing the disruption of entire industries.” Gartner
Market Trends
CIO: 21 data and analytics trends that will dominate 2016
“Analytics will become deeply, but invisibly embedded everywhere.” David Cearley, vice president & Gartner Fellow
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Ten trends to watch in Analytics Solutions during 2016 (continued)
6. Emerging markets offer long-term growth opportunity. Interest in improving global competitiveness and technical skills will propel growth in developing AP and MEA markets.
7. Mobile and Cloud Analytics. The mobile and cloud delivery model continues to impact the market for analytics solutions. Increased cloud and mobile adoption spurs demand for new and innovative analytic solutions.
8. Data Economy Drives Analytics. Interest in incorporating third-party data sources into big data and analytics solutions is growing. The ability to use data from external sources such as social media, weather services and public records to add context to business decisions appeals to new buyers of big data and analytics solutions.
9. IoT drives analytics demand. Internet of Things (IoT) is rapidly emerging as a business value driver. As data from IoT networks increases, business leaders will want analytics solutions that can turn that data into insights.
10. Increased Demand for Consulting Services. New technologies create demands for new skills, processes and assistance in selecting analytic solutions. Customers look to consultants for assistance to determine the best analytics solution for their business needs and identify opportunities to innovate new products and services using big data.
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Market Trends
“In 2016, the energy around data-driven investments will continue to elevate the importance of data and create incremental improvement in business performance.” Forrester
“Analytics are essential to the success of IoT systems. They are arguably the main point of the IoT as they support the decision-making process in operations that are created in business transformation and digital business programs.” Gartner
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.6
Analytic solutions market trends to watch within selected vertical industries
Market Trends
• Financial Services: Operational efficiency is a key pain point driving adoption of big data and analytics solutions in the financial services industry.
• Healthcare: The achievement of better health outcomes increasingly influences analytics purchase decisions among healthcare organizations. Security, regulatory and data management concerns and analytics skill shortages drive demand for professional services to guide and manage deployments.
• Consumer Goods: Adoption priorities for consumer goods organizations will move beyond improving customer engagement, which many early big data solutions addressed, to gaining or maintaining a competitive edge.
• Industrials: Industrial organizations use analytics to optimize processes such as manufacturing, quality assurance and supply chain. Operational efficiency will remain a key purchase driver in 2016 but improving customer engagement and innovation will increasingly influence buying decisions.
• Energy: Key investment priorities for energy organizations include self-service analytics, faster decision making and aggregating data from multiple sources. Demand will grow for solutions that improve the efficiency and effectiveness of field technicians.
Gartner: The Future of Analytics Leadership
HIN: Infographic: 10 Healthcare Analytics Trends for 2016
“The proliferation of data, and the shift toward data-driven businesses, has had such a profound impact that every business is an analytics business, and every employee an analytics user.” Gartner
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Big data and analytics create complex security, data management and organizational change issues
Security concerns limit adoption of third-party-hosted solutions. Third-party-hosted solutions lag in deployment compared to on-premises analytics solutions, with data security and privacy concerns often cited as key determinants for the choice of an on-premises solution.
Enterprises struggle with the efficient organization, management and processing of data and data sources. Data integration, cleansing, management, storage and access are key challenges. IoT data collection systems will amplify data volume and complexity.
The success of a big data program depends on executive involvement in setting the strategy and expected business outcomes. Executive sponsorship, having a clear strategy and alignment on financial objectives are important factors of analytic solution success.
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“Multiple studies have highlighted data integration challenges to be the No. 1 challenge in the adoption of analytics. Without access to unified datasets, the ability to derive analytical value from the data is severely constrained.” CIO.com Healthcare analytics: 4 things impacting the adoption rate
Source: IBM MD&I HorizonWatch, TBR, Inc.
Adoption Challenges
InformationWeek: Security Talent Gap Threatens Adoption Of Analytics Tools
PCWorld: Biggest Barriers to Business Analytics Adoption: People
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected Analyst Websites and Resources
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Forrester: Business Intelligence Playbook / Analytics (search)
Frost & Sullivan: Analytics (search)
Gartner: Business Intelligence (Portal) / Analytics (search) / Analytics Blog Posts (search)
IDC: Big Data and Analytics (Portal) / Analytics Research / Analytics Blog Posts
International Institute for Analytics - http://iianalytics.com/
TBR: BI and Analytics
Forrester: Webinar
Gartner: Predictive Analytics
Gartner: Transform Your Business With IoT Analytics
“Advanced analytics is analysis of all kind of data using sophisticated quantitative methods such as statistics, predictive and descriptive data mining, visualization and optimization for forecasting and having insights into the future trends.” MarketsandMarkets
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected Media Websites and Resources
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CIO.com: Business Intelligence, Analytics (search)
ComputerWorld: Business Intelligence / Analytics (search)
eWeek: Big Data Analytics Project Center / Analytics (search) / Business Intelligence (search)
Forbes: Data Driven / Analytics (search) / Business Intelligence (search)
Harvard Business Review: Analytics
InformationWeek: Big Data Analytics / Business Intelligence (search)
InfoWorld: Analytics (search) / Business Intelligence (search)
MIT Sloan: Analytics & Strategy
NY Times: Analytics (search) / Business Intelligence (search)
MIT Sloan
eWeek
“Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time.” David Cearley, vice president & Gartner Fellow
“Through 2020, spending on self-service visual discovery and data preparation market will grow 2.5x faster than traditional IT-controlled tools for similar functionality.” IDC: IDC FutureScape: Worldwide Big Data and Analytics 2016 Predictions
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected IT Vendor and Consultant Websites and Resources
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Accenture: Analytics / Analytics (search)
Booz Allen: Analytics / Analytics (search)
Deloitte: Analytics / Analytics (search)
Google: Analytics / Analytics (search)
HP: Analytics / Analytics (search)
IBM: Business Analytics / Big Data & Analytics / Analytics (search)
Infosys: Analytics / Analytics (search)
Microsoft: Big Data / Analytics (search)
Oracle: Advanced Analytics / Analytics (search)
SAP: Analytics / Analytics (search)
SAS: Analytics / Analytics (search)
TCS: Analytics / Analytics (search)
Wipro: Analytics / Analytics (search)
IBM
“Where customers are can be as critical as who they are.” Google
“By 2018 most business users will have access to self-service tools, but that only one in 10 initiatives will be sufficiently well-governed to avoid data inconsistencies that negatively impact the business.” Gartner
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected IBM Resources and Links
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IBM Analytics website
IBM Watson Analytics
IBM The Big Data & Analytics Hub
Software: Cognos / Business Intelligence / Data Warehousing / Customer Analytics / Predictive Analytics / Social Media Analytics / Risk Analytics
Global Services: Big Data & Analytics Consulting
Government: Analytics Solution Center
Research: Analytics and Mobile Enabled Solutions - IBM Research India
DeveloperWorks: Big data and analytics
Institute for Business Value: Analytics Thought Leadership
Center for Applied Insights: Stories from data leaders
IBM Analytics website
“By applying analytic tools to business transactions as they are occurring, the mainframe systems can allow clients to have true “real-time” insights.” IBM
“Three-quarters of survey respondents report that their organizations are building out an optimized data and analytics infrastructure capable of responding to in-the-moment business needs. More than two-thirds have expanded their use of advanced analytics across their enterprise to more precisely understand current business conditions and customer behaviors.” IBM
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected IBM Resources and Links
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Social Platform: Big Data & Analytics Hub
Facebook: IBM Analytics Twitter: @IBMAnalytics /
@IBMbigdata
Twitter Hashtags #bigdata #analytics YouTube: IBM Analytics /
IBM Business Analytics Google+: IBM Analytics LinkedIn: IBM Analytics LinkedIn: IBM Big Data and Analytics
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
Selected Social Sites and Searches
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Google Blog Search: Analytics / Business Intelligence
Facebook Search: Analytics
Google+ Communities Search: Analytics
LinkedIn Group Search: Analytics / Business Intelligence
Pinterest Search: Analytics / Business Intelligence
Slideshare Search: Analytics / Business Intelligence
Note: This report is based on internal IBM analysis and is not meant to be a statement of direction by IBM nor is IBM committing to any particular technology or solution.
More Insights on Technology Trends are Available
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Other slide decks in this IBM HorizonWatch 2016 Trend Report series have been posted to Slideshare
You are also invited to check out the following IBM websites and resources– IBM Academy of Technology– IBM Center for Applied Insights– IBM Institute for Business Value– IBM Research and Research News and 5 in 5– IBM’s THINK blog
