{"id":1199,"date":"2013-11-14T07:25:00","date_gmt":"2013-11-14T07:25:00","guid":{"rendered":"http:\/\/localhost\/projects\/horsesforsources\/enterprise-analytics-services-blueprint_111413\/"},"modified":"2013-11-14T07:25:00","modified_gmt":"2013-11-14T07:25:00","slug":"enterprise-analytics-services-blueprint_111413","status":"publish","type":"post","link":"https:\/\/www.horsesforsources.com\/enterprise-analytics-services-blueprint_111413\/","title":{"rendered":"The 2013 Enterprise Analytics Services Blueprint is announced: Accenture, Genpact, IBM, Infosys and Wipro make the Winners Circle"},"content":{"rendered":"

And finally one of the most complex Blueprints is finally final, where we researched across the services lines to ascertain which outsourcing service providers are delivering the goods for enterprise analytics services. \u00a0Here’s a sneak look at the Axis:<\/p>\n

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Click to Enlarge<\/p>\n<\/div>\n

Still preserving her sanity after collecting over 1000 data-points from 250 live multi-process enterprise analytics contracts, and conducting an exhaustive series of interviews with enterprise users of analytics services, we caught up with report author, analyst Reetika Joshi<\/a>, to get a little more color into the analytics services environment and discover what she learned from the 2013 Blueprint process:<\/p>\n

Reetika, is analytics really such a big deal for services, or just a lot of puff and bluster?<\/strong><\/span><\/p>\n

It\u2019s a pretty big deal! Service providers are betting big on growing out their analytics capabilities in the next two years \u2013 and with good reason. I see analytics as a transformative force for an industry that\u2019s undergoing an identity crisis. In ways, analytics is already helping IT and Business Services providers bridge the gap between being \u2018vendors\u2019 and being \u2018partners\u2019, offering \u2018mess for less\u2019 vs. smart, efficient business operations and most importantly, driving the conversation towards outcomes. Buy side organizations are leveraging these providers\u2019 analytics expertise in many ways \u2013 improving reporting and efficiency improvements for business processes, getting help on overall information strategy, legacy BI frameworks and increasingly, advanced analytics initiatives around core business areas. Analytics is helping providers collaborate with their clients on solving industry-specific challenges and creating opportunities to improve core business areas including customer, finance, operations and risk \u2013 and that\u2019s big business.<\/p>\n

What stood out during the Blueprint analysis? \u00a0Which industries \/ company sizes are have the greater analytics needs?<\/strong><\/span><\/p>\n

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Reetika Joshi is HfS Research Director, BPO and Analytics Strategies (click for bio)<\/p>\n<\/div>\n

From a service area perspective, analytics data preparation and management and routine reporting remain critical services today. However, we see a growing number of engagements that include advanced analytics, predictive modeling, ongoing analytics support, and analytics consulting.<\/p>\n

Industry verticals that have had greater data availability have naturally adopted analytics faster, across multiple business areas. These include banking and financial services, insurance, retail and consumer goods. As a result, analytics engagement maturity with service providers is also higher for companies in these verticals. They\u2019ve developed confidence in their partnerships and are on the lookout for more complex analytics opportunities\u2026 leveraging emerging technologies (e.g. social media monitoring) or applicability in core areas (e.g. underwriting analytics). Companies in verticals that have comparatively recently had data availability (such as healthcare) are looking to providers to show them cross-industry learnings and opportunities for analytics interventions.<\/p>\n

How\u00a0did we assess analytics innovation and execution performance for providers? \u00a0What did we look for?<\/strong><\/span><\/p>\n

Talking to buyers, they are most concerned about the quality of analytics talent working for them, industry expertise (particularly during strategy sessions and solution design), and flexibility in their analytics engagements. With this background, we applied our Blueprint methodology to evaluate innovation and execution for providers. With execution, we looked for solid delivery capabilities across the analytics value chain, analytics-specific geographical footprint and scale, experience delivering industry or horizontal-specific analytics solutions, flexibility to meet different client needs and the quality of customer relationships. For innovation, we looked for the completeness of vision of the end to end process lifecycle (from analytics road mapping to implementation and decision making), completeness of vision of industry-specific solutions (including talent and technology investments) and the ability to leverage external value drivers, including the other \u2018SMAC\u2019 components social, mobility and cloud.<\/p>\n

I wanted to stress that the analytics services market is still nascent with many of the service provider models still emerging.\u00a0 As this is our first Blueprint in this space, we wanted to highlight the market leaders that have developed full service<\/span> analytics capabilities, demonstrating scale and service depth across the analytics value chain. We evaluate services up and down the analytics value chain, including certain processes that aren\u2019t \u2018analytics\u2019 per se, but are essential for analytics success, such as analytics data preparation and management. \u00a0Our analysis reveals no true market \u2018laggards\u2019 for analytics, as we see expertise for one or more service categories from many providers.<\/p>\n

We saw some surprises with the Winners Circle and High Performers – can you talk a bit about which providers have excelled versus those which could perform better further down the road?<\/strong><\/span><\/p>\n

Genpact, Infosys and Wipro are in the Winner\u2019s Circle as they have significant scale in analytics, have demonstrated execution capability across service areas, and have very responsive account management teams. They have made great strides in vertical specializations and industry-unique analytics offerings and bring emerging technologies to clients. Along with these strengths, IBM and Accenture also have extensive experience in consulting, and have applied their expertise to help clients chart their analytics and data road maps and strategy. This makes their end-to-end vision for analytics compelling (I don\u2019t even need to mention IBM\u2019s $16B+ analytics acquisitions!) TCS and Capgemini have built strong offerings to help companies manage their requirements for ongoing reporting and insights. TCS especially excelled in the BFS analytics area. Cognizant, WNS, and EXL bring domain-specific innovations, having built strong industry-specific analytics capabilities especially in the high-end analytics modeling service area. I expect them to perform better in the next couple years as they are aggressively expanding these capabilities.<\/p>\n

Overall, what would your recommendations be to both buyers and providers looking at enterprise analytics services in today’s environment?<\/strong><\/span><\/p>\n