Did You Move the ECM Needle Forward in 2015?

Lori McKellar

Lori McKellar

Director, Market Development, Life Sciences. Follow @Mcktweet

Life Sciences organizations face a range of complex challenges including patent losses, merger and acquisition activity, and pressure to identify and accelerate time-to-market for new drugs. As Life Sciences companies navigate the turbulence of industry change, executives are looking for ways to create value beyond discovering and manufacturing medicines.

shift_is_hereWith healthcare shifting to a more patient-centric approach, Life Sciences organizations are tasked with thinking outside the box to find ways to identify, prioritize and develop promising therapies more quickly, to leverage their existing (and rapidly growing) data to derive meaningful insight and to maximize efficiency across the full drug lifecycle.

So what does this mean today and for the coming year for regulated content management in Life Sciences?

In a 2015 industry survey conducted by Gens and Associates, three business requirements rose to the top in driving companies to move to a next generation enterprise content management (ECM) environment―driving efficiency, improving information sharing and reducing complexity and costs. As this year winds down, let’s look back and Continue reading

Documentum Customers are Talking

John O'Melia

John O'Melia

SVP & General Manager Documentum, EMC Enterprise Content Division. Follow @John_OMelia

EMC Documentum Customers are TalkingIn my last blog, I discussed the importance of knowing your customer and truly understanding their business needs in order to deliver the best customer experience. I shared an example of how our team goes above and beyond to ensure that we delight our customer and exceed their expectations.

Sometimes exceeding expectations is about team effort, and sometimes it’s about the benefits achieved. First through listening, then by delivering. Today, I’d like to highlight Documentum customers who have experienced the right combination of team, technology, and vision. Below, you’ll see a graphic (Quote Mash Up) that contains more details, but I wanted to highlight some of the points that our customers have shared with us: Continue reading

It Takes a Village

Jason Capitel

Jason Capitel

Chief Revenue Officer, EMC Enterprise Content Division. Follow @JCapitel

Thank you to customers and partnersThe holiday season is approaching, and this week, in the U.S., we are celebrating Thanksgiving. As I think about all the things that I am grateful for, my mind turns to family, friends, and loved ones. Surprisingly, my job also comes to mind. I feel thankful for my team and colleagues, the role we play in the growth of EMC’s Enterprise Content Division (ECD), and particularly the time I’ve been privileged to spend with our customers and partners.

Of course, I’m very thankful for our customers, who have put their trust in ECD to transform their businesses. As John O’Melia shared in his last blog, customers are at the core of what we do, and we are continually working to improve their experiences, across all aspects of our engagements. Continue reading

2016 Predictions: Content Gets “Smarter” – Part 2

Chris McLaughlin

Chris McLaughlin

Chief Marketing Officer, Enterprise Content Division. Follow @cc_mclaughlin

In my last blog, I talked about four of the McKinsey Global Institute’s twelve disruptive technologies and, in particular, I focused on the astounding, $1 trillion-plus potential benefit of automating routine knowledge worker tasks and activities.  I also predicted that smart machines and cognitive systems would form the foundation for automating knowledge work and would, beginning in 2016, play an expanded role in Enterprise Content Management.  In part 2 of this posting, I’d like to look more closely at some real-world examples of how content management and smart machines will combine to power a new level of efficiency in the digital enterprise.

Let’s begin with a simple definition. Smart machines are systems that apply machine learning to automate tasks and activities that are traditionally performed by humans. There are already a number of good examples of the emergence of smart technologies in the world of content:

  • Many Web Content Management technologies make use of smart technologies to deliver personalized Web experiences for customers based on observed user preferences.
  • Cognitive technologies power intelligent search capabilities, enabling knowledge workers to quickly find critical information from within large collections of both textual and non-textual content. There are some great examples here in the area of Healthcare, where cognitive technologies are being applied to patient diagnoses and decision-support for physicians.
  • And, smart content curation applications are beginning to appear in the market, leveraging cognitive capabilities to gain insights into content and target audiences that enable marketers to more intelligently leverage their content in digital marketing.

2016_GUIDE Continue reading

A Future-Proof Clinical Research Information Platform for the Era of Health Data Convergence

Simona Vellani

Simona Vellani

Sr. Marketing Manager, EMEA. Follow @VellaniSimona

To meet patient expectations and be economically sustainable, the healthcare industry needs to break information silos and leverage all the opportunities offered by technology. In this post, Silvia Piai, EMEA Senior Research Manager – IDC Health Insights, offers an interesting perspective on the need and the opportunity for a stronger convergence between Healthcare and Life Sciences.


Silvia Piai, EMEA Senior Research Manager – IDC Health Insights

In the last few months, I have had an increasing number of conversations with research hospitals and other clinical research institutions about the opportunities offered to medical research by the growing availability of health information in a number of digital formats. Having potential access to an expanding variety of health information is driving university hospitals, and other research institutions, to rethink the organization of their processes and information systems. Collaborating with the broader healthcare ecosystems, leveraging the health data convergence between healthcare providers, public health authorities and healthcare national payers is a key priority.

This emerged not only during the conversations I personally had with different European research executives, but also from the insights of a recent IDC Health Insights European study, sponsored by EMC, analyzing the expectations, the current barriers and investment plans of top European university hospitals and clinical research institutions.

Leveraging health data convergence is essential to what more than 80% of clinical research organizations interviewed consider high priority:

  • Enabling better integration and continuity between patient care delivery & research
  • Improve efficiency in research and clinical trial processes
  • Improve performance, success rate and recognition as center of excellence for research

These objectives can be achieved only if their organizations have access to real world HC_Transformation_2-WEB_smallevidence, and will be supported by a closed loop feedback fostered by safer and smarter patient information sharing systems, allowing data to be securely analyzed and reused in
different contexts and for different purposes.

Advances in new fields as personalized medicine, n-of-1 clinical trials, and translational medicine see in this convergence the ideal platform allowing a broader and more complex interplay of patients’ health determinants and shortening the “bench-to-bedside” timeframe. However, Continue reading