AIIM - The Global Community of Information Professionals

Guest Post - Five Keys to Leading in the Age of Analytics

Apr 17, 2017 2:31:31 PM by Andrew Wells


[Note:  This is a guest post by Andrew Wells and Kathy Chiang. Andrew Roman Wells is the CEO of Aspirent, a management-consulting firm focused on analytics. Kathy Williams Chiang is VP, Business Insights, at Wunderman Data Management. They are the co-authors of Monetizing Your Data: A Guide to Turning Data into Profit-Driving Strategies and Solutions. For more information, please visit www.monetizingyourdata.com.]

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Topics: analytics, big data, data analytics

11 Cool Quotes About Big Data

Nov 28, 2016 9:00:00 AM by John Mancini

11 Cool Quotes About Big Data

  1. Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.” (Atul Butte, Stanford)
  2. "Information is the oil of the 21st century, and analytics is the combustion engine” (Peter Sondergaard, Senior Vice President, Gartner)
  3. “War is 90% information.” (Napoleon Bonaparte)
  4. "Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust.” (Ginni Rometty, CEO, IBM)
  5. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” (Geoffrey Moore, author and consultant)
  6. “The world is one big data problem.” (Andrew McAfee)
  7. “I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding.” (Hal Varian, chief economist at Google)
  8. “The temptation to form premature theories upon insufficient data is the bane of our profession.” (Sherlock Holmes, fictional detective)
  9. "The most valuable commodity I know of is information."  (Gordon Gekko, Wall Street)
  10. "If we have data, let’s look at data. If all we have are opinions, let’s go with mine." (Jim Barksdale, former Netscape CEO)
  11. “Processed data is information. Processed information is knowledge Processed knowledge is Wisdom.”  (Ankala V. Subbarao)
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Topics: content analytics, case management, big data

10 Content Management videos you need to see

Oct 18, 2016 4:25:37 PM by John Mancini

Here you go!  10 ECM videos and their accompanying tip sheets and white papers.  

Click on the link to download the tip sheet or white paper; click on the video to get an idea of what they're about.

Feel free to share them with you friends and colleagues.

What's Happening with File Sync and Share - White Paper

Linking the Physical and Digital Worlds -- 6 Tips on Asset Lifecycle Information Management -- Tip Sheet

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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Topics: metadata, enterprise content management, ecm, big data, content management marketing

Big Data, Content Analytics, Information Capture and the Hype Curve

Aug 3, 2016 2:57:56 PM by John Mancini

Last year, Gartner created quite a stir by retiring the “Big Data” Hype Cycle from its popular “Hype” curve series (see Why Gartner Moved Big Data Off the Hype Curve).

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Topics: content analytics, mobile capture, big content, big data, capture

Content Analytics -- What does it mean to YOUR organization? 5 Key Obstacles

Mar 2, 2016 2:18:34 PM by John Mancini

Deriving meaning and insight from the different forms of content held and managed within most organizations is fast becoming one of the number one challenges and priorities for many in business. AIIM’s June 2015 Industry Watch Content Analytics: automating processes and extracting knowledge, revealed that six in ten enterprises believe that content analytics will be essential within five years’ time:

The capacity of computers to recognize meaning in text, sound or images has progressed slowly and steadily over many years, but with the constant arrival of faster computing resources, and the continual refinement of software algorithms, we are in a position where both the speed and the accuracy of recognition can support a wide range of applications.

In particular, when we add analysis to recognition, we can match up content with rules and policies, detect unusual behavior, spot patterns and trends, and infer emotions and sentiments. Content analytics is a key part of ‘big data’ business intelligence, but it is also driving auto-classification, content remediation and Information Governance, security correction, adaptive case management, and operations monitoring.

That smart content analytics can be of huge value to an organization is clear. But it is equally clear that there are a number of obstacles to content analytics adoption that need to be overcome. At the most recent meeting of AIIM’s think-tank, the Executive Leadership Council (ELC), the following obstacles were identified as particularly pertinent:

  • Definitions of what content analytics actually is are poorly understood and inconsistent.
  • There is still too much focus on technology and not enough on business value; who truly are the buyers, influencers and key stakeholders and how are they different from those of yesteryear?
  • The pace of technology change is accelerating and running ahead of the ability of organizations to consume it.
  • There is an on-going lack of specific use cases to really demonstrate value.
  • There is a splintering of data -- and data responsibility -- in the enterprise.

As with any emerging technology, there has been a wave of content analytics early adopters. The ELC agreed that it was imperative to learn strategic lessons from these early implementers, particularly focusing on:

  • Addressing data structure, tagging and permissions as close as possible to the point of creation.
  • Defining a clear set of corporate objectives for content analytics initiatives.
  • Always remember that the hardest part of a content analytics project is not the technology.
  • Done right, content analytics should drive you to rethink the questions you ask about your organization.
  • Position your content analytics initiatives as a means to both enhance customer value AND address information security.

In conclusion, a lot is happening in the world of content analytics, and it is happening very quickly indeed. But organizations must embrace the changes and the pace at which they are happening, as content analytics takes its place at the heart of many organizations.

Per Vladimir Lenin: “There are decades in which nothing happens and there are weeks in which a decade happens.”  Per ELC Leader Thornton May: “The status quo is perpetually on trial. But that doesn’t mean you can stand by and wait. It wasn’t raining when Noah started building the ark.”

Check it out; free download.

Download new Content Analytics report! FREE!

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Topics: content analytics, big data, elc

11 Cool Quotes About Big Data

Aug 20, 2015 7:30:00 AM by John Mancini

11 Cool Quotes About Big Data

  1. Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world.” (Atul Butte, Stanford)
  2. "Information is the oil of the 21st century, and analytics is the combustion engine” (Peter Sondergaard, Senior Vice President, Gartner)
  3. “War is 90% information.” (Napoleon Bonaparte)
  4. "Big Data will spell the death of customer segmentation and force the marketer to understand each customer as an individual within 18 months or risk being left in the dust.” (Ginni Rometty, CEO, IBM)
  5. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” (Geoffrey Moore, author and consultant)
  6. “The world is one big data problem.” (Andrew McAfee)
  7. “I keep saying that the sexy job in the next 10 years will be statisticians, and I’m not kidding.” (Hal Varian, chief economist at Google)
  8. “The temptation to form premature theories upon insufficient data is the bane of our profession.” (Sherlock Holmes, fictional detective)
  9. "The most valuable commodity I know of is information."  (Gordon Gekko, Wall Street)
  10. "If we have data, let’s look at data. If all we have are opinions, let’s go with mine." (Jim Barksdale, former Netscape CEO)
  11. “Processed data is information. Processed information is knowledge Processed knowledge is Wisdom.”  (Ankala V. Subbarao)
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Topics: content analytics, big data

11 Facts You Didn't Know About #Content #Analytics and #BigData

Jun 16, 2015 10:28:00 AM by John Mancini

11 Facts You Didn't Know About Content Analytics

The information below is from the new AIIM survey, Content Analytics: automating processes and extracting knowledge.

Fact #1 -- Content analytics is fast becoming a pivotal business tool, with six in 10 enterprises saying it will be essential within five years’ time.

Fact #2 -- Three-quarters of enterprises believe there is real business insight to be gained from content analytics, further highlighting its position as a technology that adds true value to an organization.

Fact #3 -- Content analytics – which analyzes and derives insight from inbound and legacy content - is also seen as increasingly essential to addressing risks associated with incorrectly identified content. Respondents felt auto-classification of content helps protect against security breaches, sensitive or offensive content, and exposure to compliance regulations. More than half of enterprises (54 percent) feel that their organization is at considerable risk from such threats. 

Download new free report on Content Analytics

Fact #4 -- Despite contact analytics’ potential, 80 percent of survey respondents have yet to allocate a senior role to initiate and coordinate analytics applications. This lack of designated leadership and shortfall of analytics skills is restricting the potential and holding back the deployment of content analytics tools, according to almost two-thirds (63 percent) of the research respondents.

Fact #5 -- Around three-quarters (73 percent) of respondents feel that enhancing the value of legacy content is better than wholesale deletion, while more than half (53 percent) say that auto-classification using content analytics is the only way to get content chaos under control.

6 MORE key facts about content analytics:

  1. Nearly two-thirds of respondents say that content analytics is either essential (17 percent) or something they definitely need (48 percent).
  2. Thirty-four percent of organizations are using content analytics for process automation, information governance, contextual search or business insight.
  3. Benefits from inbound analytics include faster flowing processes (50 percent), happier staff (32 percent) and improved governance (20 percent).
  4. Content analytics early adopters are already seeing the benefits, with 68 percent reporting ROI within 18 months or less.
  5. Most survey respondents expect to spend more on content analytics in the next 12 months.
  6. Incoming customer communications and help desk streams top the list for live or near-time alerting.
A few thoughts from Doug Miles, the author of the report:

 “We have seen increasing interest and adoption in recognition and routing of inbound content, automated classification of records and email, metadata addition and correction, and all of the improvements in access, security, de-duplication and retention that flow from this. But content analytics can offer so much more than this, with many applications and uses yet to come, and by 2020 will be one of the primary tools used by any enterprise.”

Check out our brand new Content Analytics course!

-----

Some other recent posts that might be of interest...

The research for ‘Content Analytics: automating processes and extracting’ was underwritten in part by Kofax, Rocket Software, SPS and OpenText.

The full report, which includes a number of recommendations for progress, is free to download at http://info.aiim.org/contentanalytics

The survey was taken using a web-based tool by 238 individual members of the AIIM community between April 17, 2015, and May 8, 2015.

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Topics: content analytics, information governance, analytics, big data

How to Move Beyond Having Every #BigData Conversation Begin and End with #Hadoop

Feb 9, 2015 2:15:00 PM by John Mancini

How to Move Beyond Having Every Big Data Conversation Begin and End with Hadoop

Organizations of all sizes are struggling with how to extract insight and mitigate risk relative to the massive volumes of information and data that they're accumulating.  This isn’t just a question of big data—it is also a question of dark data, trapped in long-forgotten repositories, often without metadata. This is content and information that just begs for the light of day through semantics and analytics.

Big data initiatives to date have been almost exclusively driven by IT.  These initiatives are focused on the question of "how do we apply technology to manage large volumes of data?"  

New content analytics and semantic technologies allow you to move beyond the sheer volume question and ask "What kinds of questions and hypotheses should we be testing with our data?" In other words, how does insight into our data change the very nature of the questions we ask and hypotheses we form in our businesses?

How can your organization get business INSIGHT out of all the information you are gathering?  At AIIM15, find out how to change to conversation about Big Data from a conversation about Hadoop to one about the BUSINESS role of Big Data.  Get a preview of the INSIGHT sessions HERE.

Here's a fun ebook, free to all, covering some of the sessions at #AIIM15.

Download the free AIIM15 ebook.

Check out -- 23 Things I Wish I Knew BEFORE My First ECM/Content Management Project.

 

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Topics: content analytics, big content, big data

The #AIIM15 Digital Transformation Hot Seat: The Dark and Dirty of Big Data

Jan 21, 2015 1:42:49 PM by John Mancini

As we start to think about #AIIM15, I thought I would ask a number of our sponsors a few identical questions in order to get an understanding of how they see the future of our industry -- and let those of you attending start to think about your own questions to ask them in San Diego.  Here are the three questions I'll ask:

  1. What are the three biggest challenges you see your customers facing while trying to “Embrace the Chaos”?
  2. What do you see as the three most important trends related to Information Management facing organizations over the next 18-24 months? What will be different in our industry two years from now?
  3. What are the three most important things attendees should know about your company?

Roger Beharry Lall, Director of Market Strategy and Research at Adlib Software, says organizations need to take control of their information today before it hits critical mass.

What are the three biggest challenges you see your customers facing while trying to “Embrace the Chaos”?

  1. The collection, organization and publishing of all of the required information in order to meet compliance demands – from internal corporate mandates to broad-based industry standards like FDA, SOX and more.
  2. The inability to access content to support business growth. Organizations are looking to improve collaboration across the enterprise, which means better access to content. One way to do this is to implement effective archiving solutions so that content is always accessible and available for the long term. Leveraging industry standards like PDF/A will enable teams across the organization to access content at any time from anywhere. 
  3. The inability to understand and access information. While organizations have done a good job of moving from paper to electronic format, and standardizing with formats like PDF for digitally born content, they now face an additional challenge around digesting this information: ensuring that text and images are readable; that information can be accessed automatically without manual reformatting; easily extracting insight from documents; sorting, de-duplicating, attributing and deleting files. These are all critical, but often ignored in favor of more advanced ‘Big Data’ initiatives. 

What do you see as the three most important trends related to Information Management facing organizations over the next 18-24 months? What will be different in our industry two years from now?

  1. The shift in focus from “Big Data” projects to more specific projects like addressing “Dark Data” and “Dirty Data”, focusing on more effective/efficient content analytics endeavors. 
  2. The recognition that content management solutions should be “enterprise” , not departmental solutions.
  3. With more and more importance being placed on compliance, the PDF and PDF/A standards will become more and more prevalent in solving this for organizations. Moreover though, organizations will actively look at solutions to optimize those PDFs making them more accessible, standardized, and automated. 

We believe that in two years, information chaos will have reached an all time high unless organizations act now to gain control of their content. This situation will put many of them at great risk. Think compliance, archiving, the draining of resources. There is a way to get ahead of the curve and proactively ensure content is secure so that in two years they aren’t playing catch up and having to turn their attention away from core business projects to deal with document problems.

What are the three most important things attendees should know about your company?

  1. That PDF is more than just a standard - it can be applied to organizations in a broad range of industries to solve complex business problems 
  2. That our Advanced Rendering technology centralizes, automates and enhances critical business processes like compliance and archiving – reducing manual dependencies to reduce information risk. 
  3. That customers and partners are using Advanced Rendering technology not only for content output and archiving, but also to optimize the capture and ingestion of incoming or digitally born information.
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Topics: PDF/A, aiim conference, analytics, big data

Inside #Content #Analytics -- 6 Key #ROI Trends

Jan 23, 2014 9:00:00 AM by John F. Mancini

From AIIM's recent Industry Watch, "Big Data and Content Analytics -- Measuring the ROI," 6 key

 ROI Trends...(Downloads of full report are free)...

62% of actual and potential users would find content analytics applications “very valuable” including 20% who would say “hugely valuable”. There is particular value in linking structured and unstructured content together.

Biggest potential business value would be in improving data quality, detecting policy compliance and speeding up customer service. Improved decision-making and enhanced profitability also score highly,as do more accurate marketing and improved product quality.

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Topics: content analytics, big data

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