Point: Capture, share and reuse knowledge to make R&D engineers more productive

Story:

At Power to Innovate 2009, Boston Scientific’s Randy Schiestl (VP of R&D) and Jude Currier (Cardiovascular Knowledge Management & Innovation Practices Lead) described how Boston Scientific is redesigning its innovation processes. The goal: to accelerate time to market, increase the productivity of innovators, and reduce costs and risks.

Boston Scientific is an $8 billion company committed to delivering innovative medical technologies that improve the quality of patient care as well as healthcare productivity. The company has a broad portfolio of 13,000 products. The new products in its pipeline include drug coated stents, bare metal stents, catheter and bio-absorbable technology.

In the past, Boston Scientific drove innovation from business strategy to technology development to product development. In this staged approach, engineers created technology-driven products that were then shown to business units and customers at the prototype stage. The trouble with this process was that the later groups often found gaps or risks in the proposed product late in the product development process. As a result, the company had to spend more money than expected putting out fires while trying to hold to a launch schedule.  Boston Scientific decided to change its innovation process to bring more knowledge and resources into the earlier stages of innovation.

As part of the new innovation process, Boston Scientific began bringing in key “voices” into the innovation process earlier. By getting these voices — the voice of the customer, the voice of the business unit, and the voice of regulatory bodies — earlier, the company uncovered its knowledge gaps and risks much sooner. The second part of Boston Scientific’s innovation process redesign gave employees access and pointers to relevant information, whether that information resided in a document or in the tacit knowledge of an expert. The goal here was to reduce the amount of time engineers spend looking for knowledge. Schiestl said engineers spend 30% of their time looking for relavant knowledge. To improve upon that, Boston Scientific used Goldfire (innovation software from Invention Machine) to capture, share and reuse knowledge.  Goldfire’s semantic technology automatically categorizes concepts can and ties relevant intelligence to specific innovation initiatives. For example, engineers used Goldfire to identify past research and then validate whether that research could be repurposed. The result: Boston Scientific engineers who used Goldfire spent only 10 percent of their time researching intelligence, compared to 20-30 percent by non-Goldfire users.

Boston Scientific’s new innovation process illustrates what Mark Atkins, CEO of Invention Machine, called an innovation intelligence ecosystem.  This ecosystem represents the aggregate of information, communities, and processes that collectively contribute to innovation. Here’s how it works: using innovation software like Invention Machine’s Goldfire, companies capture and reuse information and intellectual capital created by employees as well as by external sources. Goldfire further enables collaboration by accurately reconstructing a user’s past thinking and research process, making it visible and explicit to other users. Employees avoid reinventing or duplicating research already done, thus saving time and improving innovation productivity.

Boston Scientific shared two examples of its success using Goldfire and the company’s new innovation processes. First, the company improved the design of cardiac stents to reduce a patient’s injury-response to the device. By combining knowledge from across the innovation ecosystem, the company mapped key clinical knowledge about heart disease and how different heart artery conditions affect the patient outcomes with different stent designs.

In the second example, Boston Scientific used Goldfire to solve a technical problem in manufacturing that was reducing product yields.  Using Goldfire, Boston Scientific found that previously undocumented thermocapillary effects were leading to clogged spray nozzles. By understanding the physics of the cause, Boston Scientific was able to make a simple change to the manufacturing line to eliminate the clogging and thereby improve yields.

Action:

• Uncover all the “voices” that have a say in the success of innovations (the voice of the customer, voice of technologists, voice of manufacturing, voice of regulatory compliance, etc.).  Connect key people and communities in a more collaborative, sharing-oriented environment
• Identify, organize, and access information (internal and external) needed by these communities to do their innovation-related work.
• Develop knowledge and innovation processes that find and resolve knowledge gaps or risks early in the innovation process.

Point: Behind-the-scenes innovation makes visible innovation shine

Story: I saw the premiere of KOOZA in Denver last week. Actually, it was my second time seeing KOOZA (the first was in Boston), and it was even better the second time.

The first time, I was mesmerized by the overt innovations in the show, like the “Wheel of Death.” Imagine two connected hamster-wheels, each of which spin while both together revolve vertically as well. Suspended high above the stage, the performers run, dive and somersault inside the wheels. And just when it looks like the act couldn’t get any more thrilling, the performers switch to running on the outside of the wheel.

My second time at KOOZA, I sat in the second row, so I had a closer look at the costumes. Even from the very last row (where I sat the first time), I remember the dazzling shine of the juggler’s suit. The second time, I had a chance to see the intricacy of all the costumes, which led me to wonder about the R&D that must go into them. The costumes hug tight body lines yet flex with all the contortions the performers make.

How does Cirque Du Soleil create these amazing costumes? First, Cirque hires talent: specialists in textile design, lace-making, shoemaking, wig-making, patternmaking, costume-making and millinery all work together to combine their knowledge.

Second, they actively seek out new materials which can be used. A “technological watch team” tracks global advances in adhesives, batteries and miniature lights to see how they could be incorporated into costumes. The team looks beyond boundaries of standard textiles to encompass fields such as avionics, plumbing, water sports and even dentistry for components that achieve the imagined task.

Third, the artisans of Cirque Du Soleil’s Costume workshop custom-make all the costumes, dyeing the colors in-house or painting costumes directly. They mold each individual hat on a plaster model of the artist’s head for a perfect fit. They consider comfort during these very athletic shows: the wig-making team, for example, builds wigs one hair at a time to achieve optimal ventilation. The attention to detail is staggering: the Bungee costumes used in Cirque’s Mystre each have over 2,000 hand-glued sequins. The juggler’s suit in KOOZA consists entirely of mirrored squares, like a disco ball.

Whether visible or hidden, Cirque du Soleil innovations shine.

Action:
* Hire specialists in multiple related disciplines to work as a creative team
* Explore beyond the expected. Cirque’s costume team doesn’t just use fabrics but expands into composite materials such as silicone, latex, plastics, foams and urethane
* Let team members be hands-on to devise ways to make an innovation work.

Further information:

If you’re in Denver, take advantage of seeing KOOZA yourself. It plays through Sept 27, with tickets available here. The show then moves to Santa Monica, CA in October and Irvine, CA in January. Info on future cities is here.

Point: Develop new products and services by applying innovative analytics to unused data.

Story: Three companies presenting at Techstars Demo Day last week illustrate a category of innovation that is based on new uses of data. First, Retel Technologies is a new company that helps retailers understand patterns of behavior at store locations. Many retailers have security cameras on site, but they rarely look at the data generated by those cameras because of the sheer volume of data. The raw data is typically viewed only in the event of a robbery. Retel, however, developed a cost-effective human-aided video data analysis service that extracts workplace performance analytics from all that unused video footage. For example, the system can help spot problems such as dirty tables at fast-food locations, employee theft, and capacity bottlenecks (such as a shortage of  cashiers during certain hours). Retel provides its clients monthly reports to help managers see trends, behaviors, and time-of-day patterns that can help them better manage their stores.

Second, a new company named Next Big Sound uses the realtime flow of events in social media to help band managers. The music industry is undergoing big changes, but sales of concert tickets are the highest they’ve been in ten years, and people are buying more music than ever. Giving band managers data can help them make better decisions. For example, real-time data from Twitter can be captured and analyzed to show who’s talking about which band and where they are — data that can provide great insight into a band’s fan base. Next Big Sound collects a host of both social media and web data to provide real-time marketing analytics that bands can use in variety of ways. For example, band managers can use the data to pinpoint the demographics of fans, scout new concert locations, and improve online ad placement. They can even suggest that a band mention people or events in the local area or give a shout-out to high-profile fans at a concert.

Third, Mailana is a company that uses communications analytics to help people leverage their social connections. These days, people are inundated by connections to other people. It’s not hard to have hundreds or thousands of connections in the form of entries in e-mail address books, friends on Facebook, colleagues on LinkedIn, and followers on Twitter. But who among the hoard of connections are the true trusted friends that one can really count on Mailana uses data on frequency and patterns of communication to automatically identify a person’s inner circle of most-trusted friends. Furthermore, Mailana helps people merge inner circles — a good trusted friend or a good trusted friend is far more valuable than a casual forgotten connection to another causal forgotten connection. Mailana helps people build and use the high-value core of their social graph.

In each of the three companies, innovative use of data provides new value.

Action:

• Inventory the data sources around you, your company, and industry
• Consider the potential analytic value of the data — what you might learn from that data? (or what might you learn more quickly?)
• Leverage low-cost computing and workflow technologies to extract new and actionable knowledge

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