Forrester's 2016 ECM Panel Survey Is Open - Call for Participation

Cheryl McKinnon

Forrester's survey for ECM decision-makers is open, and we're looking for your participation! Take this opportunity to provide your perspectives on the key vendors, the challenges, and the opportunities you see in this technology market. This survey is intended for ECM decision-makers or influencers in end user organizations. This is not for ECM vendors or systems integrators . . . but vendors and consultants — we would love it if you could share this survey invitation with your customers. The survey will remain open until end of day Monday August 1, 2016. August 15th! 

The survey will take approx 15-20 minutes to complete.

Why is your input important? Forrester uses this data to:

  • Keep our Enterprise Content Management Playbook fresh and relevant. Clients who are embarking on a new or updated content initiative rely on these interconnected reports to understand the landscape and market direction and build out the business cases, continuous improvement plans, and the org charts to succeed.
  • Track the trends and emerging use cases for ECM — for both business and transactional content services. Where are investments being made? How is cloud shaping your road map? What are the top challenges facing your programs today?
  • Educate clients and nonclients alike via research, blog posts, webinars, and industry presentations. This survey data helps us validate and verify where ECM markets are evolving and aid you in making better investment decisions.
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Architect Process Agility With BPM Platforms For Digital Business

Charlie Dai

Some CIOs and enterprise architecture (EA) pros believe that business process management (BPM) is on the opposite side of agility — but they don’t realize that BPM technology itself is also evolving. Agility-oriented BPM platforms are the foundation of a digital business. I’ve recently published a report that discusses the four key areas that EA pros must focus on to accelerate digital transformation with BPM. Some of the key takeaways:

  • Modern BPM is critical for digital business. Process agility is critical to giving businesses the agility that powers digital business. BPM adoption is gaining momentum in China; EA pros must drive the use of modernized BPM platforms and methods to accelerate digital transformation. 49% of budget decision-makers in China from both the technology and business sides will increase their spending on enterprise process applications, which is higher than their global peers.
  • An outside-in approach is key to digital transformation. EA pros must understand key BPM platform capabilities and unique local demands. For the Chinese market, this means data-intensive user interfaces with integration and security needs, complex organizational hierarchies and ad hoc decision-making approval processes, and a unique social environment for cross-region collaboration. EA pros should then use these requirements to align the architecture for agility-oriented process platforms. Forrester has introduced a reference architecture for agility-oriented process platforms that consists of four layers: enablement, foundation, engagement, and management.
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AI And Cognitive Computing — What's The Hype All About?

Michele Goetz

That is exactly what Forrester wants to find out - is there something behind the AI and Cognitive Computing hype?  What my research directors ask, "Is there a there there?"

AI and Cognitive Computing have captured the imagination and interest of organization large and small but does anyone really know how to bring this new capability in and get value from it? Will AI and Cognitive really change businesses and consumer experiences? And the bigger question - WHEN will this happen?

It is time to roll-up the sleeves and look beyond conversations, vendor pitches and media coverage to really define what AI and Cognitive Computing mean for businesses, are businesses ready, where they will invest, and who they will turn to to build these innovated solutions, and what benefits will result.  As such, Forrester launched its Global Artificial Intelligence Survey and is reaching out to you - executives, data scientists, data analysts, developers, architects and researchers - to put a finger on the pulse.  We would appreciate you take a little time out of your day to tell us your point of view.  

Simply click on this like to participate.  https://forrester.co1.qualtrics.com/SE/?SID=SV_3K02TU4Q9934Z1j

As a thank you, you will receive a complimentary summary report of the findings.

If you have a great story to share that provides a perspective on what AI and Cogntivive can do, what benefits is has provided your company, and can share you learnings and best practices, we are also recruiting for interviews. 

Simply contact our rock star researcher, Elizabeth Cullen, to schedule 30 minutes.  ecullen@forrester.com

We hope to hear from you!

Key Takeaways From Informatica World 2016: Informatica Pivots From A Data Company To A Business Insights Company

Nasry Angel

Informatica World wrapped up in San Francisco last week where almost 3,000 customers and partners gathered in the Moscone West conference center for four days packed with executive keynotes, customer and partner presentations. Based on my time there it’s clear that:

Informatica is pivoting to cater to a business audience. They recognize the business and their requirements have gained greater influence over technology purchasing decisions and are responding accordingly. Heralding what they call the age of data 3.0 they now want to leverage their leadership position in data management to build industry solutions on top of their data integration, data quality and data management tools. MDM solutions like MDM-Customer 360, MDM-Product 360, and MDM-Supplier 360 take aim at delivering mission critical insights to the business user. Their expanded partnership with Tableau will also continue to expose them to business audiences.

Promising new executives have their work cut out for them. Informatica has a 20 year track record of success in data management. But they are going in a new direction that is largely uncharted territory for them. Lou Attanasio, is the newly minted Chief Sales Officer who will need to transform an organization accustomed to speaking with IT to one that appeals to a business audience which will require a new sales model, training, and specialized sales talent that can speak to the client in terms of business value while also covering the technology at the right altitude. Jim Davis, who joined earlier this year as CMO from SAS, is leading the charge in positioning Informatica as not just a data management tool but a platform that is embracing cloud, mobile, social, big data, IoT and security.

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US Government: Huawei Should Be Your Digital Business Partner, Not Your Enemy

Charlie Dai

Huawei Technologies started out nearly 30 years ago as a small private company with 14 employees and 140,000 yuan in capital. By 2015, its total revenue exceeded $60 billion. Huawei is already a global company, but its globalization journey has been a difficult one since the very beginning. Despite its continuous business growth in other regions, Huawei has faced critical censorship in the US since Day One — and last week the US government put Huawei under the microscope yet again.

National security is important, but using “national security” as an excuse for allowing unfair competition will only harm customers. It’s time for the governments of both countries to trust each other more. I’ve recently published a report focusing on Huawei’s continuous progress toward becoming a key enabler of digital transformation in the telco and enterprise spaces. Some of the key takeaways:

  • Huawei has holistic strategies for digital transformation. Huawei’s broad vision of digital strategy — which focuses on cloud enablement and readiness, partner enablement, and open source co-creation — has helped the firm sustain strong business growth in the telco and enterprise markets. For example, its partnerships with T-Systems on the Open Telekom Cloud in Germany and with Telefónica on public cloud in the Americas have helped carriers in local markets give cloud users on-demand, all-online, self-service experiences.
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Navigate The Crowded Enterprise File Sync And Share Market By Asking These 3 Questions

Cheryl McKinnon

Forrester defines Enterprise File Sync and Share (EFSS) as the technologies that "allow organizations to share and replicate content across multiple devices, distributing files to employees and/or customers or partners outside the enterprise".

Two Forrester Waves on the EFSS market were published recently, segmenting this crowded market into two categories: cloud solutions and hybrid solutions. Forrester clients can access them here:

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Insight Platforms Have Arrived

Brian  Hopkins

Are you lost in a confusing soup of vendor-speak about what their data analytics stack actually offers? Big data, data platforms, advanced analytics, data lakes, real-time everything, streaming, the IoT, customer analytics, digital intelligence, real-time interaction, customer decision hubs, new-stuff-as-a-service, the list goes on.

Recognize the convergence happening as vendors evolve their technologies from doing just one thing like predictive analytics or search to many things together. For example, data integration, data warehouse, and BI tools are typically sold separately, but breakout vendor Looker combines data integration, model governance, basic BI, and a runtime for data applications all in one software layer that sits on your data lake. As another example, consider predictive analytics vendor Alpine Data Labs or SAS Viya from SAS. These vendors have built out a lot of data management and insight delivery tooling into their platforms because without it users struggle to maximize value. Another trend is big data search vendors like Maana that now also include hooks for predictive model execution as well as more data management functions. Lastly, systems integrators are packaging their IP and offering it as a data management and analytics integrated product — for example, Saama’s Fluid Analytics Engine or Infosys’ Information Platform.

In fact, the list of innovative vendors blending data management, analytics, and insight execution technology is growing by leaps and bounds. To address this trend, I just published a report, Insight Platforms Accelerate Digital Transformation, in which I created a broad definition that labels this trend:

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Pega Buys OpenSpan: Watch Out - RPA Vendor Landscape Is About To Change

Craig Le Clair

Enterprises, in their quest to reduce labor costs, are applying RPA technologies. Yet they do not have a well-defined set of principles and best practices, including how to position RPA with other process tools and initatives. Today it may have become a bit more clear. Pega is the first tech provider, and only BPM market particpant of substance, to purchase an RPA provider (OpenSpan). The combination brings robotics, analytics, and case management together - and that makes sense. Think of Pega's process/rules capibility firing off a set of RPA scripts.

RPA in many respects is an alternative, some would say the polar opposite of Pega's current business model that feasts on the transformitive "big IT spend" for BPM, case management, automation, and customer service projects. RPA does not require invasive integration. It is a quick hit for automation, a “low touch” approach for process improvement for brittle legacy systems. The bottom line. Enterprises that employ labor on a large scale for process work can gain efficiencies by just automating repetitive human tasks for the “as is” process.

OpenSpan is nice pick-up for Pega that will help with back-office BPM work, but more so with contact center environments where the agent requires human and machine multitasking that often spans multiple windows and web applications, few of which are integrated with each other. Cumbersome process flows, rekeying of data, and lack of integration add up to lengthy call times, reduced accuracy, and an overall increase in customer frustration. Pega/OpenSpan will give Jacada and NICE a run for their money, and the future integration with Pega's analytics tracks where the RPA space is heading.

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Deep Learning Will Blow Up Your Data Strategy

Michele Goetz

Day one of the GPU Technology Conference in San Jose and I'm still glowing from watching Steve Wozniak "travel to Mars" through NVIDIA's photo real virtual reality.  Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest.  Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities...). Each emotion illustrates what everyone will experience shortly on NVIDIA's next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.  

This is not your traditional or even big data analytic platform.  It's a complete overhaul of the computing architecture.  It's a complete rethink of data management. It will also change how you think about analytics.  

Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now.  In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.

The implications for how you manage data are radical. Here is what you need to think about:

  • Deep learning systems are voracious eaters of data. If you think you have volume issues now, it will only get worse. Traditional integration won't cut it.  You need bigger compute on GPUs not CPUs for speed, performance, and efficiency. Don't you want to train your data in 2 hours vs. 2 weeks?
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The Forrester Wave Master Data Management: Which MDM Tool Is Right For You?

Michele Goetz

The Forrester Wave for Master Data Management went live today. The results may surprise you.  

MDM tools today don't look like your father's MDM. No longer an integration hub between applications and DBMSs, today's tools are transitioning or have reinvented MDM to handle the context missing from system traditional implementations. Visualizations, graph repositories, big data and cloud scale, along with application like interfaces for nontechnical users, mean MDM and master data gets personal with stakeholders.  

Semantics and insight are not an outcome of MDM but an integrated part of the engine and hub. Three MDM evolutions stand out:

  • Business-defined views of data: For graph-based vendors such as Reltio and Pitney Bowes, master domains are shaped by business use cases. For example, customer master can be defined beyond the bounds of a household, identity, and account. Customer behavioral characteristics can be the starting points for taxonomies and hierarchies. Integration of master domains is based on physical, logical, linkage, and semantic schemas for a more seamless navigation and querying of master data to align with the explosion of data views created by analytics, applications, and microservices.
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