Perfect Timing for PolySpot to Deliver Innovative Enterprise Information Solutions
November 6, 2012
There is no doubt that we all have our ears full of information about mobile. However, we could probably say the same for big data. The author of “Joining The ‘Big Data’ Revolution” published on 4Ps Marketing asserts that 2012 has been the year of big data, above anything else.
Big data was highlighted in two notable ways this year, according to the article. At the World Economic Forum in Davos, Switzerland the top topic was none other than big data. To further add to it’s significance, a report, “Big Data, Big Impact,” posited that data is a akin to money.
We learned from the article:
More data does not necessarily mean better data, and it certainly does not mean guaranteed marketing strategy performance. Big data has unlocked a lot of potential, but it has also created new marketing and analyst roles. These are the people our industry will need if big data is to make a big difference to marketers. This is especially true for digital strategies, as they already rely so heavily on data.
Recent focus in the arena of big data seems centered around the creation of new roles and finding new talent to fill these gaps formerly unknown as gaps. Luckily, technology is already leap years ahead with what we have seen from companies such as PolySpot. They have already brought innovative enterprise information delivery solutions to the table.
Megan Feil, November 6, 2012
Sponsored by ArnoldIT.com, developer of Augmentext.
Congratulations Apache Foundation on Solr 4.0
November 6, 2012
LucidWorks products, including LucidWorks Search and LucidWorks Big Data, are built upon the winning combination of open source products Apache Lucene and Solr. With the general availability and release of Apache Solr 4.0, LucidWorks sends its support and congratulations. Read more in the full story, “LucidWorks Congratulates Apache Foundation on General Release of Solr 4.0.”
The press release begins:
“A milestone in the maturity of open source search was reached today with the general availability of the Apache Foundation’s Solr 4.0 search server. Integrated tightly with the Apache Lucene search library, the combination, Lucene/Solr, is the industry’s most widely used platform for writing real-time embedded search applications that can scale to handle billions of documents and high query volumes. Solr is considered by many to be the open source standard for fast, flexible and scalable implementation.”
With its recently redesigned brand and Web presence, LucidWorks also invites the open source community to join them on SearchHub.org to share praise and talk through the new Solr offering.
“To congratulate the Apache Solr community on this release, LucidWorks, the trusted name in Search, Discovery and Analytics, invites the community to mark the occasion by sharing praise for Solr and posting comments to the Solr 4.0 goes GA blog post located on SearchHub.org.”
Join in the conversation at this SearchHub thread.
Emily Rae Aldridge, November 06, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
PolySpot Delivers Information While Other Big Data Vendors Vie For Attention
November 5, 2012
We have heard it before and we are hearing about it again: it will be a challenge to stock companies with a pool of data scientists able to analyze big data. The article, “Big Data, Big Talent Challenge,” published on Boston focuses on the potential impact Boston, Massachusetts can have in meeting this nationwide struggle.
This iconic New England city feels like they do not get enough credit for technological advances their region has pioneered. However, as the article suggests, their lack of notoriety has little to do with what has technological developments and innovations have happened and more to do with how well they’ve been positioned in relation to big data.
The author advises companies looking for attention to follow talent:
Kendall Square and Boston’s Innovation District — including the revitalized Seaport –have emerged as two of the region’s technology hotbeds, yet many major employers are situated well outside these environs, and are losing Big Data talent to startups with “cool” locations. Several companies, such as Staples, Amazon, and Google have elected to build innovation/R&D organizations in Cambridge or Boston to leverage access to talent and provide a stimulating, enjoyable work environment.
Across the Atlantic a company called PolySpot has caught our eyes. They allow for information delivery through an agile enterprise infrastructure. Now, that is what companies should be focused on: delivering insights and information throughout their organization.
Megan Feil, November 5, 2012
Sponsored by ArnoldIT.com, developer of Augmentext.
Big Data is New Google API Biggest Challenge
November 5, 2012
Google is making a push into the enterprise search market. One step toward doing so is the introduction of the Google Translate API and an update to its search appliance. Matthew Eichner, general manager of Global Enterprise Search, says that Google is taking a different approach to enterprise than in the past. Full details can be read in, “Google Updates Search Appliance – Adds Google Translate API To Target Global Market.” It is reasonable that Google would want a piece of the enterprise market, but many obstacles stand in its way.
The article’s author, Alex Williams, writes:
“Open-source search providers are GSA’s deepest competition. LucidWorks is one of the leaders in providing enterprise search. In May, it launched a data beta project, LucidWorks Big Data, which certifies and integrates Apache open source components to develop and manage big data applications. Yes, Google does have an edge in search overall but what I don’t see is GSA’s application to big data applications.”
LucidWorks has the name recognition and the industry support to continue its dominance of the open source enterprise search market. Venturing out into Big Data is just icing on the cake, a move that LucidWorks can naturally make, while others are rushing to catch up.
Emily Rae Aldridge, November 05, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IntelTrax Summary: October 26 to November 1
November 5, 2012
The IntelTrax information intelligence blog posted some excellent articles this week discussing the importance of investing in data analysis technology to help improve the efficiency of workplaces.
“Big Data a Big Part of IT Spending” looks at some projections regarding the rate of IT spending growth, most of which went towards social media campaign spending. However, the spending is continuing to branch out as more and more industries are beginning to utilize the technology.
The article states:
“Big data this year will account for US$28 billion of IT spending worldwide, which will increase to US$34 billion in 2013, according to Gartner.
In a report released Wednesday, the market research firm said much of 2012 expenditure will be in adapting traditional tools to address issues related to the big data phenomenon such as machine data, social data, and the large variety and velocity of data. In contrast, only US$4.3 billion will be focused on new big data functionalities.”
As big data analytics becomes more mainstream, we are seeing more interesting ways that it is being utilized. “Big Data Justice League” examines the use of big data analytics to predict the criminal behavior of maritime pirates.
The article states:
“There are almost too many sources of unstructured data to grapple with: interviews with pirates in custody, news stories about piracy incidents, data from mobile phones found during investigations, e-mail traffic, and social media posts from the pirates themselves. And here’s where the story gets really interesting, in my opinion. Most of this data comes from disparate sources that can vex the best investigations. It’s not simply a matter of easily formatted spreadsheets with clean rows and columns. At warp speed, data comes in from the Web, mobile devices, PDF files and other documents — a potential treasure trove of hidden insights.”
Some companies that a new to the big data game take a little bit of time to see the return on their investment. “Data Scientists More Important Than Most Think” gives four major detractors to analytics success:
“1. 35% of the time, it is the missing analytics skills – For analysts – how well are they able to bridge the gap to business, to understand the real question behind the ask before they jump into the data pull? For PM’s and marketing managers – how well do they understand the recipe behind making decisions based on data (BADIR framework), how well familiar they are with the fundamental analytics technique?
2. 10% of the time, it is the missing decision making process – How does budget get allocated? What is the process of laying out product roadmap?
3. 25% of the time, it is the organization’s data maturity – how easy is to get to data, how many version of the truth exist, does data exist in its rawest form for everybody to aggregate as they please?
4. 30% of the time, it the management and leadership – how is the management making decision, how are they establishing roles and responsibility, how are they holding people accountable?”
Regardless of your industry or expertise in the data analysis field, Digital Reasoning can be of great help. It offers one of the best analytics platforms on the market and can get your house in order by using automated understanding for big data.
Jasmine Ashton, November 5, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Study Finds Four Stages of Big Data and No Universal Solution
November 2, 2012
Get ready for another study on big data. This one is from IBM and the study was conducted in conjunction with University of Oxford. Forbes gives the report in “The Four Phases of Big Data.” This study surveyed 1,061 companies around the world. From this data, IBM identified four phases of big data adoption, which include educate, explore, engage and execute.
Twenty four percent of the 1,061 companies interviewed were in the educate phase, with another forty-seven percent having moved up to the explore phase. Just 6 percent of the respondents had made it the execute phase. Notably, this study concluded that big data leadership transitions from the realm of IT to business leaders as big data strategies are adopted over time.
The author shared the following overarching thoughts:
We’ve always had data. Social networks and mobile devices simply create more data. Today, we have the opportunity to store and analyze this data more effectively than in the past. Unfortunately, there is no “one size fits all” solution for big data. The solution requirements vary based on criteria such as need for real-time analytics; need to support wide varieties of unstructured data and volume of data. As we can see from the IBM study, big data adoption is in its infancy.
No “one size fits all” solution for big data is dead-on right. We have seen great innovations from many companies. Recently, PolySpot has piqued our interest, but companies need to do the leg work necessary to research the best fit for their needs.
Megan Feil, November 2, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IBM PureData Systems Provide Powerful Big Data Solution
November 1, 2012
Big Data woes are being addressed in a big way by IBM, with the introduction of three new systems for information management and analysis. We learn about IBM Pure Systems in the CloudTimes article “IBM Introduces PureData to Address Big Data Challenges.” The article tells us about the category of systems which focuses on simple cloud functionality and easy-to-use features, helping companies tackle the increasing global data volume.
The article informs:
“Pure Systems helps companies reduce the time and money to spend on IT maintenance and focus more on business innovation. The new PureData helps companies meet the challenge of managing these large volumes of information as it is able to perform complex data analysis in minutes rather than hours.
[…] The IBM PureData Systems allows working in a cloud model and is able to consolidate more than 100 databases into a single system. Like other members of the initial PureSystems offering, PureData is capable of implementing web applications in less than 10 days.”
The IBM Pure initiative is supported by enterprise search leader Intrafind, which is one of the first certified application providers of this new family of expert integrated systems. Intrafind’s cloud solutions and their partnership with IBM Pure make for a powerful option in cloud enterprise search applications.
Andrea Hayden, November 1, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Infrastructure from PolySpot Offers Secure Information Delivery Across the Enterprise
November 1, 2012
With the amount of attention on big data, any software solution vendor is likely to rise up and present their fancy marketing language for enterprise infrastructure as the one and only kind of software that can tackle the challenge big data poses. Well, ZDNet speaks only the language of pure and simple truth in their article “Big Data: Why It’s Really an Architecture Challenge.”
Business intelligence and data warehousing may be two common aspects of the larger system for extracting insights from big data, but data warehouses were not designed for the volume of integration and access required and neither were business-intelligence systems.
The article opens by pointing directly to infrastructure as the key component:
What’s missing from all the conversations about big data is a focus on the infrastructure necessary to support it — and in particular its use in real time. For many companies, big data means opening up access to the data warehouses they have always maintained. Data warehousing has been and continues to be a critical component of enterprise-class organisations. Such systems provide the aggregation of data from across the organisation and enable it to be sliced and diced into consumable chunks allowing business analysts to provide insights into business conditions.
Infrastructure is what delivers information across the enterprise, allowing the true dissemination of insights to occur. More often than not, companies allow the magnitude of little data bits to distract from the larger ideas that evolve from the sum of the parts – but not PolySpot.
Megan Feil, November 1, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
PolySpot Asserts Impressive and Innovative Tools into the Big Data Mix
October 31, 2012
Big data is only as big and exciting as the business intelligence platforms available to transform raw data bits into enriched insights. GigaOM reported on a new player in this field in the article,”Platfora Shows a Whole New Way to do Business Intelligence on Big Data.” Show, not tell, is definitely applicable to Platfora. Data is presented visually in graphs to data scientists and analysts.
Platfora uses Hadoop as a scalable data store from which users can grab data sets and choose which variables are shown and how different data sets relate to each other. Platfora has named this data-management process building a “lens.”
The article discusses thoughts from Platfora Founder and CEO Ben Werther:
Essentially, Werther said, Platfora has turned Hadoop into a sub-second interactive engine that operates much faster than any Hadoop-to-data-warehouse connector or Hive-based approach could ever hope to do. (Hive is the SQL-like query language developed for Hadoop that companies such as Facebook use to turn Hadoop into a data warehouse for unstructured data.) ‘At the point where you can synthesize on the fly,’ he said, ‘[legacy BI tools] start to look like relics of another age.’
Data visualization is certainly an exciting piece in the puzzle, but it is by no means a new way to perform business intelligence. We have seen far more impressive and innovative tools with mobile capabilities to store and analyze large volumes of structured and unstructured data from companies like PolySpot.
Megan Feil, October 31, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Insights Drawn from Big Data Scientists Start with PolySpot Information Delivery
October 30, 2012
Big data solutions are not just for early adopter, high-tech companies anymore. The latest New York Times article, “Big Data in More Hands” offers up some names of new solutions that might appeal to mainstream companies and corporations. Many of these are based on open source databases such as Hadoop.
Both Oracle and Microsoft, for example, uses Cloudera. Based on Hadoop, this solution runs queries from a more mainstream SQL programming language interface.
Mike Olson, the chief executive of Cloudera, is quoted in the article stating that Hadoop was seen as too complex:
There is a reason for that. Hadoop is one of several so-called unstructured databases that were created at Yahoo and Google, after those two companies found they had previously unimaginable amounts of data about activities like people’s Web-surfing habits. Put into databases designed to handle this unstructured behavior, then analyzed, this information was valuable for figuring out things like what advertisement to put in front of each individual Web surfer.
This quote from the article reaches into the heart of the significance of big data. Insights can be pulled from a host of different types of data run together under analytics and seen with the fresh eyes of a data scientist. The key then becomes ensuring a proper information management system is in place, such as PolySpot, to allow information to be delivered to all employees necessary within a company.
Megan Feil, October 30, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
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