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
The Fragmentation of Content Analytics
October 29, 2012
I am in the midst of finalizing a series of Search Wizards Speak interviews with founders or chief technology officers of some interesting analytics vendors. Add to this work the briefings I have attended in the last two weeks. Toss in a conference which presented a fruit bowl of advanced technologies which read, understand, parse, count, track, analyze, and predict who will do what next.
Wow.
From a distance, the analytics vendors look the same. Up close, each is individual and often not identical. Pick up the wrong shard and a cut finger or worse may result.
A happy quack to www.thegreenlivingexpert.com
Who would have thought that virtually every company engaged in indexing would morph into next-generation, Euler crazed, and Gauss loving number crunchers. If the names Euler and Gauss do not resonate with you, you are in for tough sledding in 2013. Math speak is the name of the game.
The are three very good reasons for repackaging Vivisimo as a big data and analytics player. I choose Vivisimo because I have used it as an example of IBM’s public relations mastery. The company developed a deduplication feature which was and is, I assume, pretty darned good. Then Vivisimo became a federated search system, nosing into territory staked out by Deep Web Technologies. Finally, when IBM bought Vivisimo for about $20 million, the reason was big data and similarly bright, sparkling marketing lingo. I wanted to mention Hewlett Packard’s recent touting of Autonomy as an analytics vendor or Oracle’s push to make Endeca a business analytics giant. But IBM gets the nod. Heck, it is a $100 billion a year outfit. It can define an acquisition any way it wishes. I am okay with that.
IntelTrax Summary: October 19 to October 25
October 29, 2012
This week, the IntelTrax advanced intelligence blog published some interesting stories related to big data’s influence over modern enterprises and higher education.
The article “Text Mining Brings Out the Value on Big Data” explains how companies are turning data volumes into increased profits. Many companies are choosing to automate the process through data analytics and text mining software.
The article states:
“Many companies haven’t begun to benefit from valuable enterprise text data,” said Fiona McNeill, Global Product Marketing Manager for SAS Text Analytics. “Most know that information in-house and in social media must be analyzed to bring value. SAS Text Analytics are being used for patient safety in healthcare, digital content performance in the media industry, early-warning systems and citizen intelligence in government and more. Nobody delivers the depth and breadth of technology for analyzing structured and unstructured data that SAS does.”
“Higher Ed for Big Data” reports on new programs meant to reinvigorate the tech work force and bring young talent to the industry.
According to the write-up:
“Colleges and universities are moving swiftly to create advanced degree programs to help meet what’s expected to be rapidly rising demand among employers for specialists who can manage and analyze big data.
The schools are likely aware of a McKinsey report warning of a mega-shortage of analytical experts that could leave as many as 190,000 positions unfilled by 2018. They’re also responding to appeals from big employers like IBM and SAS Institute that have been lobbying college administrators to set up such programs.
Schools have offered analytics training for years, but the emerging advanced degree programs add instruction in the use of analytic and business intelligence tools to produce useful information from petabytes of data collected from social media sites, sensors, transaction records, mobile applications and other sources.”
PepsiCo is another large company that has recently seen the value of data analytics. “PepsiCo Acquires a Taste for Data Analytics” shares an interview with PepsiCo‘s Global Chief Technology Officer and Senior Vice President of Business Information Solutions Caroline Watteeuw.
Watteeuw explains one of the company’s new products:
“We are betting on what we call SMAC. It is Social, Mobile, Advanced and Immersive Analytics, Cloud. There are a couple of things that are not relevant for PepsiCo but interesting. I call them comeback kids. If you go back 15 years when Xerox was at its peak, it was all about very precise ink-jet printers. Right now, people are trying to use ink-jet printer technology and refocus it on creating organs (researchers at the Wake Forest Institute for Regenerative Medicine, for instance, are using modified ink-jet technology to build tissue and organ prototypes). It is absolutely phenomenal. Then there are three dimensional maps. You have 3D TV, gaming and printing. 3D maps will allow you to navigate through different layers of geography to do oil and gas exploration in a very different way.”
For those who are interested in getting the most of their big data, there are a variety of companies out there offering cutting edge solutions. We recommend Digital Reasoning for their long standing reputation as a leader in big data analytics that pushes the envelope.
Jasmine Ashton, October 29, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Bitext Cracks the Sentiment Code for Salesforce Cloud Insights
October 22, 2012
Salesforce went social years ago. First, the company hired Steve Gilmore, a widely respected futurist and technology expert. Next, the company added various commenting and collaboration functions to the Salesforce platform. Now the company has taken the next logical step. Sentiment analysis has been added to the Salesforce Cloud Insights system.
The sentiment analysis capability answers such questions as:
- In a licensee’s content pool, what’s hot, what’s a problem, and what’s going right?
- How are customers’ sentiments trending over time or now?
- What customers are unhappy and why?
The Salesforce Marketing Cloud Command Center solution is the next generation of social engagement. By leveraging insights from the Marketing Cloud and more than 25 social analytics leaders, customers will derive deeper meaning from the millions of social conversations happening every day. The industry’s most comprehensive solution for managing social media engagement, the Social Command Center will provide customers with a new level of social media intelligence that will allow them to filter through the noise and quickly analyze large volumes of social data to generate actionable social intelligence and connect with customers in entirely new ways.
The engine for this innovative sentiment capability was developed by Bitext, based in Madrid, Spain. Unlike most companies, Bitext was designed to operate across languages. In one sense, Bitext approached semantic methods to operate without requiring the user to specify what language is being analyzed.
Bitext is a leading provider of OEM text analytics technology. Bitext develops semantic services for major European languages using a data-driven symbolic natural language processing system. Alongside integration into partner solutions including search, business intelligence and analytics, these services are available through two different channels: Bitext Consulting and the Bitext API, which provides a web service to open up the Bitext semantic technology to third-party developers.
As a result, Bitext Sentiment enables customers to harness the power of social intelligence and connect with customers in entirely new ways. Unlike the academic charts and often incomprehensible dashboards of confusing graphics, Bitext’s system outputs data which can be used to answer basic business questions quickly.
Any developer for Salesforce Marketing Cloud Insights or users of the system can tap the power of the unique Bitext innovations. Bitext Sentiment delivers multilingual sentiment analysis. The system is fueled by sophisticated semantic analysis. According to the founder of Bitext, Antonio Valderrabanos:
“We keep the technology behind the simple reports a business person or analyst needs. We focus on usability and delivering real time results, not confusion.”
Bitext’s system uncovers key insights or “info nuggets” from the millions of conversations that take place every day in social media.
He said in Madrid today:
Bitext can deliver information which can transform a company’s future. Our multilingual sentiment analysis in a real-time environment gives companies the opportunity to understand their customers better and faster than ever before.
ArnoldIT’s view is that most of the high profile industry solutions for sentiment analysis that are based on keyword spotting or machine learning. Stephen E Arnold, founder of ArnoldIT, said:
Most of the systems asserting intelligence based sentiment analysis simply fail to handle most of the subtleties of human language. This is especially true of complex languages like Spanish or Portuguese and even more so when the Latin American varieties of these languages are considered. Our research revealed that Bitext Sentiment was built from the ground up using processing techniques designed to handle the complexity of natural language. Bitext represents morphological variation and syntactic analysis via its proprietary rule-based system, Bitext Sentiment capture nuances of meaning more effectively than other systems we have examined.
Bitext Sentiment allows an organization to gauge whether their customers have concerns about the message they are receiving or are reacting positively. Such focused, easily understood information allows users of the Bitext system to act swiftly to engage in the most effective manner.
Selected Features of Bitext Sentiment
Bitext Sentiment is a robust solution. Of particular interest to organizations seeking to leverage their “big data” from customer support and social media are:
Sentiment analysis that works using sophisticated rule-based language analysis to solve challenges such as identification of positive or negative words that do not relate to the brand in question and sentiment words that change their meaning when combined with other words
Entity extraction collects as a single Insight all of the brands, companies, people and so on that people have referred to positively or negatively, making it easy to see which are the most important subjects in a set of online conversations.
Entities context (brands, companies, people etc.) that have the strongest positive and negative sentiments are extracted into separate Insights, making it easy to compare brands, people or products and see the majority of positive or negative comments are directed.
The dictionaries and grammars that power Bitext Sentiment are built specifically for each language and language variety. Sentiment analysis is customized for each different language, not built with a one-size-fits-all technique.
The initial set of languages for Salesforce will be Spanish and Portuguese. All varieties of Spanish (Latin America and European) and Portuguese (Brazilian and European). Upon request, the system can support English, French, Italian, Catalan, Basque, Dutch and German. Other languages can be added as required.
Stephen E Arnold, October 22, 2012
Beyond Search, the “real” beyond search I might add
IntelTrax Summary: October 12 to October 18
October 22, 2012
This week the IntelTrax advanced intelligence blog posted some informative stories regarding the state of big data analytics technology and its impact on marketers and retailers.
“Big Data Particularly Useful for Marketers” examines businesses can mine data that they are already collecting in order to increase revenue. The pressure to create a marketing strategy that is both customer and market driven is intense, and it has caused many marketers to turn to analytics solutions for aid:
“Marketing analytics used in conjunction with big data will help many organizations properly evaluate their marketing performance, gain insight into their clients’ purchasing habits, market trends and needs and make evidence-based marketing decisions. As one example, look at how politicians are using big data to identify their target audience and reach out to the so-called “silent majority.”
“Using Big Data Analytics to Predict Consumer Behavior” is another article that discusses the impact that big data analytics has on marketers. It examines changes in consumer behavior. Now, instead of marketers running the show, it is the customers who are leading market trends.
The article predicts:
“In the not-too-distant future, you will be able, for example, to change your contact information with many vendors at once, rather than many times, over and over, at many different websites. You will declare your own policies, preferences and terms of engagement—and do it in ways that can be automated both for you and the companies you engage. You will no longer have to “accept” agreements that aren’t worth reading because, as we all know, they cover the other party’s butt but expose yours.
In addition to your personal tool kit, you’ll have software that can knit together your apps with the services offered by companies, saving work for you and creating business for them—all in real time.”
Many smaller companies that are new to the analytics scene are choosing to invest in Google Analytics over some other solutions. “Google Analytics for Dummies” shares an article that provides a step-by-step look at how to use Google Analytics to determine the success of your sight.
However, the author explains:
“Google analytics are meaningless if you can not take the information it gathers and make necessary changes on your web site. Not everyone realizes this, but there are other companies out there that offer even more comprehensive analytics services than Google. Digital Reasoning has spent the past decade creating automated understanding for big data. Its flagship product Synthesys addresses big data challenges in the enterprise market – including Financial Services, Healthcare, Insurance Fraud, Electronic Discovery, and Enterprise Risk.”
Digital Reasoning is a company that has been working in the data analysis and management field to create a solution that takes the pressure off employees and automates the process. Synthesys is used by marketers worldwide to understand market trends and gain valuable insights into customer behavior.
Jasmine Ashton, October 22, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
What Does Attivio and Its $34 Million Mean for Other Vendors?
October 16, 2012
Boston.com’s “Attivio Collects $34 Million in New Funding to Help Companies figure Out What They Know” caught the attention of the goslings here in Harrod’s Creek. I have spoken with several senior managers in the content processing and analytics space, and I can report that none of these individuals had his or her arms around the broader meaning of the $34 million Attivio landed.
Boston.com reported:
“One thing our software does is correlations,” Riaz explains. “You may have an unpaid invoice that belongs to Cisco, and we help you figure out that the reason its unpaid is that you may have all these support issues with them that you need to address.” Riaz says part of the appeal of Attivio’s software, which it calls the Active Intelligence Engine, is that “we can merge into their existing information infrastructure so that we’re adding value in days.”
What the reports of Attivio’s funding omits is the possible impact of the money on the search and content processing sector. Let me outline four consequences of this funding deal:
First, the competition is going to have to find a way to cope with Attivio’s marketing and sales activities. Attivio is a pretty good marketing operation. However, with additional funding, Attivio will be able to compete against its traditional competition and push into sectors which are more familiar with IBM- and Oracle-type solutions.
Second, the prospect pool for Attivio will grow. Money today works like catnip. Companies looking for a way to cope with distributed and fractionalized data will include Attivio in their short lists. Money works this magic.
Third, people who are working at smaller analytics firms or who are in a cube at a Google-type operation will consider Attivio as a job hop option. This means that smart people will gravitate to Attivio because it offers a green field opportunity.
Fourth, innovators are likely to knock on Attivio’s door. Raw invention is one thing, but turbo charging comes from learning about hot new systems and methods. I think Attivio will benefit from a flow of ideas from small outfits looking for a mover and shaker.
Good news for Attivio. Maybe some other investment firms will look at the information delivery sector and another hot prospect. Exciting times.
Stephen E Arnold, October 16, 2012
IntelTrax Top Stories: October 5 to October 11
October 15, 2012
This week’s top stories from the IntelTrax advanced intelligence blog focused on the impact of big data analytics solutions on a multitude of different industries.
According to “New Pike Research Report Analyzes Smart Grid Analytics” there will be a spike in smart grid data analytics spending that is forecasted to reach more than $34 billion. The bulk of this spending, which will occur worldwide, will be in the Asian Pacific.
When describing the report, the article states:
“This Pike Research report analyzes the global market opportunity for smart grid data analytics across four key solution segments: meter analytics, grid analytics, asset analytics, and renewables integration for business intelligence, operations, and customer management. The report provides a comprehensive assessment of the demand drivers, business models, policy factors, and technology issues associated with the rapidly-developing market for smart grid data analytics. Key industry players are profiled in depth and worldwide revenue and capacity forecasts, segmented by application and region, extend through 2020.”
“Expert Suggests You Ask Your Analytics Vendor the Tough Questions” explains the importance of advocating for yourself and your business by asking the hard questions when choosing between a myriad of solutions that solve the same or similar data management problems.
The article states:
“SAP customers looking at the possibility of deploying text analytics software within their operations should be diligent about asking vendors lots of questions, according to one expert.
Giving vendors the third degree is especially important when shopping for text analytics technology because there is a wide range of offerings on the market at various levels of maturity, said Hanns Koehler-Kruener, a research director with Stamford, Conn.-based IT research firm Gartner Inc.
Additionally, text analytics technology is still emerging into the mainstream and therefore terminology and performance expectations will vary from vendor to vendor. As a result, the only real way to find out if a particular text analytics product meets specific needs is through questioning and trial and error, the analyst said.”
While most companies see big data as a huge benefit when channeled appropriately, consumers may see it as a threat to their privacy. “The Threat of Big Data” explains how big data can be misused.
The article states:
“What those breadcrumbs tell is the story of your life. It tells what you’ve chosen to do. That’s very different than what you put on Facebook. What you put on Facebook is what you would like to tell people, edited according to the standards of the day. Who you actually are is determined by where you spend time, and which things you buy. Big data is increasingly about real behavior, and by analyzing this sort of data, scientists can tell an enormous amount about you. They can tell whether you are the sort of person who will pay back loans. They can tell you if you’re likely to get diabetes.”
Whether you are looking to utilize big data for good or evil, there are companies out there that are willing to help your company harness data. Digital Reasoning uses automated understanding to take the pressure off employees and gain valuable insights from big data.
Jasmine Ashton, October 15, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Oracle Embraces Digital Reasoning
October 8, 2012
Digital Reasoning™, a leader in unstructured data analytics at scale is now a Silver Partner in Oracle PartnerNetwork (OPN) Specialized program. The “silver” designation means that Digital Reasoning benefits from Oracle’s complete solutions addressing unstructured data analytics where extreme scale and high performance are key customer needs. (For more information, see “Digital Reasoning Becomes Oracle PartnerNetwork Silver Level Partner.”
Digital Reasoning has integrated Synthesys®, the company’s software platform for unstructured analytics, with the Oracle Big Data Appliance. A white paper featuring benchmark performance information on the analytics of massive unstructured data sets of documents is available on our website. With the combined power of Synthesys and the Big Data Appliance users can now analyze tens of millions of documents in only a few hours as opposed to months with traditional methods.
Synthesys uses a unique combination of machine learning, patented advanced analytics and tight integration with Hadoop to automatically uncover critical information buried in documents, email, web content and social media. Synthesys has been applied to complex big data analytics challenges in the U.S. intelligence community during the past decade and is now being applied to big data analytics challenges in finance, healthcare and legal markets.
Rob Metcalf, president of Digital Reasoning, said:
We are excited about achieving Silver Level Partner Status in OPN. We see a lot of customer interest in combining Synthesys with the Oracle Big Data Appliance for high performance unstructured data analytics.
With its Silver status, Digital Reasoning is now able to develop, sell and implement Oracle’s 1-Click product portfolio, allowing us to increase competitive positioning and profitability with midsize companies. As an additional benefit, Digital Reasoning can now leverage the OPN Portal tools, resources and experts within the Oracle Partner Business Center to increase their market knowledge and ability to maximize customer sales and retention with Oracle. Silver Level partners are also eligible for discounts on Oracle training, lead registration via Open Market Model, entry into the Oracle Solutions Catalog, discounts on Oracle Linux and VM Support and more.
My view is that Oracle has rich capabilities which are now extended with the state of the art functionality provided by Digital Reasoning.
Stephen E Arnold, October 8, 2012
IntelTrax Top Stories: September 28 to October 4
October 8, 2012
Lately, the IntelTrax information and advanced intelligence blog has been covering a lot of stories related to risk analytics.
The October 4 post “Risk Analytics Becomes Big Business” explains how the days of manually entering data into spreadsheets are over and how risk can now be quantified and lowered with the use of analytics technology.
The article give an example of a company using analytics to mitigate risk:
“Numerix (http://www.numerix.com/), the leading provider of cross-asset analytics for derivatives valuations and risk management today announced that Banque Internationale à Luxembourg (BIL), a pioneer in the Luxembourg financial industry has selected the Numerix CrossAsset analytics platform to support its model validation and model comparison processes. With Numerix’s highly flexible, fully transparent analytics architecture, BIL can conduct rigorous model analysis to independently validate pricing and risk sensitivity outputs, as well as make comparisons between different models to analyze how the outputs vary under different assumptions.”
Another article that emphasizes the financial impacts of data analytics is, “Effective Financial Data Analytics Rely on Quality.” This article discusses how important it is to utilize statisticians and data preparation along with a business’s strategy to form predictive models.
The article states:
“A critical aspect therefore is identifying what data is needed for effective prediction – and what data ends up actually being available and used to build the models. Most analysts can’t fix data – therefore they do the next best thing statistically, which is dropping or avoiding poor quality data.
Data analytics touches nearly all aspects of a business and it’s nearly impossible to achieve effective business intelligence without it.”
The Financial sector is not the only one that is using data analytics technology. It appears that the government is jumping on board the big data wagon as well. “Government and Utilities Get Big Data” explains how analytics spending has gone up quite a bit in the business world.
The article states:
“Utilities must solve data collection and storage challenges and learn how to analyze and act on new forms of information before they even get to the point of realizing real returns on their smart grid investments.
According to a new report from Pike Research, a part of Navigant‘s Energy Practice, the worldwide market for smart grid data analytics is expected to grow steadily through 2020, with cumulative worldwide spending from 2012 through 2020 totaling just over $34 billion.”
One company that has worked to provide data analytics technology for both the government and financial enterprises is Digital Reasoning. Digital Reasoning uses automated understanding to tackle some of big data’s most messy challenges by enabling enterprises and agencies to detect fraud, uncover market trends, gain better insight into customer behavior, gain competitive advantage, and mitigate risk.
Jasmine Ashton, October 8, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Intel Trax Top Stories September 20 to September 27
October 1, 2012
This week the IntelTrax advanced intelligence blog published a series of articles that explained the importance of integrating analytics solutions to increase performance efficiency within the workplace.
Big data can be quite confusing. That is why it is always great to listen to the opinions of experts in the field. “John Whittaker on the Need for Data Integration for Big Data Analytics” explains why successful big data analytics requires integrating data from a multitude of sources.
When explaining why big data integration is necessary, Whittaker said:
“One of the big aspects that people are trying to get a handle right now, and one of our major uses, is big data analytics. Once you get beyond the Google or Facebook use cases and start talking about how the rest of us will use big data, it is going to be analytics. Whenever you’re doing analytics, you want to marry information from different sources. You might want to be able to correlate what’s happening within your ERP and the operational data that might exist there, with experiential data from your website. The operational data often tends to reside in relational databases, but when you’re talking about experiential data, about how people are utilizing your website or what people are saying on social media about you, that sort of data resides within the unstructured big data world of Hadoop. It’s really about being able to marry these sources together into one environment and drive better decisions based on the information there is the primary value that the big data environment is going to provide for the normal enterprise.”
Along with integrating big data, many experts are also making predictions regarding the future of big data. “Predicting the Next Big Thing in Big Data” talks about some of the new up in comes in the industry that may make a big impact.
When explaining a new report that has come out, the article states:
“Big Data – The Next Big Thing”, a first-of-its-kind report on the ‘Big Data’ industry, focusing on the opportunities, challenges, and its impact on businesses globally. ‘Big Data’ relates to rapidly growing, structured and unstructured datasets with sizes beyond the ability of conventional database tools to store, manage, and analyze them.
The report identifies five key insights on global ‘Big Data’ trends and the opportunity it throws up for IT and analytics players in India. First, Big Data has become all-pervasive with the potential to create significant benefits for a number of sectors. The early adopters driving the business with appetite for Big Data analytics are industries such as Manufacturing, Retail, Financial Services, Telecom and Healthcare.”
In “Marketing Analytics Industry Expected to See Dramatic in India” references a report that shows companies are increasingly using marketing analytics technology as a way to stay ahead of their competition. This is particularly relevant in India because the marketing analytics industry is expected to grow from $200 million to $1.2 billion by 2012.
The report explains:
“Over the past few decades, the evolution in traditional media and the emergence of digital media has revolutionized the way products are sold to the customers. Marketing analytics play a pivotal role in helping marketers take informed data-driven decisions and effectively reach out to the audience. The marketing analytics industry is poised for exponential growth and India will be one of the foremost forces leading this revolution. This report is an effort to showcase potential of analytics to organizations, analytics players and prospective employees and will help pave the way for concerted effort to increase the usage.”
While these articles may discuss different aspect of big data, they all have one thing in common. They all call for a need for companies to invest in solutions that evolve with the times. Digital Reasoning is a big data analytics company that works within nearly every business sector to promote automated understanding over human effort.
Jasmine Ashton, October 1, 2012
Sponsored by ArnoldIT, developer of Augmentext.
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