Explain Cloud Analytics Like I Am Five
October 10, 2016
One of Reddit’s popular subreddits is “explain to me like I’m five,” where redditors post questions they have about science, math, computing, engineering, politics, and other topics. Outside of reading textbooks or questioning experts in person, this subreddit allows intellectual discussion on a global basis…as long as the comments remain mature. “Explain to me like I’m five” is like the favorite For Dummies book series.
While Internet forums and Reddit itself have made the series semi-obsolete, For Dummies books are still a reliable reference tool when you don’t want to search and scroll on the Internet. As companies move towards cloud-based systems, you can be sure there will be a slew of cloud computing For Dummies books.
Open Source Magazine shares that “Analytics For Dummies” is available for a free download!
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
For Dummies books usually retail around twenty dollars, so this offers the chance for a free, updated manual on the growing cloud analytics field and you can save a few dollars.
Whitney Grace, October 10, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Next-Generation Business Intelligence Already Used by Risk Analysis Teams
June 1, 2016
Ideas about business intelligence have certainly evolved with emerging technologies. Addressing this, an article, Why machine learning is the new BI from CIO, speaks to this transformation of the concept. The author describes how reactive analytics based on historical data do not optimally assist business decisions. Questions about customer satisfaction are best oriented toward proactive future-proofing, according to the article. The author writes,
“Advanced, predictive analytics are about calculating trends and future possibilities, predicting potential outcomes and making recommendations. That goes beyond the queries and reports in familiar BI tools like SQL Server Reporting Services, Business Objects and Tableau, to more sophisticated methods like statistics, descriptive and predictive data mining, machine learning, simulation and optimization that look for trends and patterns in the data, which is often a mix of structured and unstructured. They’re the kind of tools that are currently used by marketing or risk analysis teams for understanding churn, customer lifetimes, cross-selling opportunities, likelihood of buying, credit scoring and fraud detection.”
Does this mean that traditional business intelligence after much hype and millions in funding is a flop? Or will predictive analytics be a case of polishing up existing technology and presenting it in new packaging? After time — and for some after much money has been spent — we should have a better idea of the true value.
Megan Feil, June 1, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
MarkLogic Does Ecommerce
November 25, 2015
On their blog, MarkLogic announces they are “Eliminating Shopper Fatigue: Making Online Commerce Faster, More Accurate.” Anyone who has tried to shop online for a very particular item understands the frustration. Despite all the incentives to quickly serve up exactly what a customer is looking for, ecommerce sites still struggle with searches that get too specific. Writer (and MarkLogic chief marketing officer) Michaline Todd gives this example: A site that sells 652 different versions of a “screwdriver” returns zero results to the phrase “one-quarter-inch slotted magnetic screwdriver.” You know it must be there somewhere, but you have to comb through the 652 screwdriver entries to find it. That or give up and drive to the local hardware store, where a human will hook you up with exactly what you need. Good for local business, but bad for that ecommerce site.
Todd says the problem lies in traditional relational databases, upon which any eCommerce sites are built. These databases were not meant to handle unstructured data, like supplier-created product descriptions. She describes her company’s solution to the problem, which naturally includes MarkLogic’s NoSQL technology:
“The beauty of NoSQL is that it’s a schema-agnostic data model that ingests data in whatever its current form. Codifyd uses MarkLogic to quickly and reliably merge millions of data points from thousands of suppliers into a product catalogue for each of its clients. By gathering such fine-tuned information instantaneously, Codifyd recommends products matched to specific attributes in real time, increasing customer trust, loyalty and retention. This more precise information also allows retailers to bundle relevant product offers in a set, improving upselling and increasing the average order size. For example, a retailer can serve up the ‘one-quarter-inch slotted magnetic screwdriver’ the customers searched for as well as a toolkit that contains that particular screwdriver.”
Todd notes that Codifyd also dramatically speeds up the process of posting entries for new products, since unstructured data can be reproduced as-is. Launched in 2001, MarkLogic proudly declares that theirs is the only enterprise-level NoSQL platform in existence. The company is headquartered in San Carlos, California, and maintains offices around the world.
Cynthia Murrell, November 25, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Business Intelligence Services Partnership Between Swedish Tech Companies Zinnovate and Yellowfin
November 25, 2015
The article titled Business Intelligence Vendor Yellowfin Signs Global Reseller Agreement with Zinnovate on Sys-Con Media provides an overview of the recent partnership between the two companies. Zinnovate will be able to offer Yellowfin’s Business Intelligence solutions and services, and better fulfill the needs that small and mid-size businesses have involving enterprise quality BI. The article quotes Zinnovate CEO Hakan Nilsson on the exciting capabilities of Yellowfin’s technology,
“Flexible deployment options were also important… As a completely Web-based application, Yellowfin has been designed with SaaS hosting in mind from the beginning, making it simple to deploy on-premise or as a cloud-based solution. Yellowfin’s licensing model is simple. Clients can automatically access Yellowfin’s full range of features, including its intuitive data visualization options, excellent Mobile BI support and collaborative capabilities. Yellowfin provides a robust enterprise BI platform at a very competitive price point.”
As for the perks to Yellowfin, the Managing Director Peter Baxter explained that Zinnovate was positioned to help grow the presence of the brand in Sweden and in the global transport and logistics market. In the last few years, Zinnovate has developed its service portfolio to include customers in banking and finance. Both companies share a dedication to customer-friendly, intuitive solutions.
Chelsea Kerwin, November 25, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Amazon Punches Business Intelligence
November 11, 2015
Amazon already gave technology a punch when it launched AWS, but now it is releasing a business intelligence application that will change the face of business operations or so Amazon hopes. ZDNet describes Amazon’s newest endeavor in “AWS QuickSight Will Disrupt Business Intelligence, Analytics Markets.” The market is already saturated with business intelligence technology vendors, but Amazon’s new AWS QuickSight will cause another market upheaval.
“This month is no exception: Amazon crashed the party by announcing QuickSight, a new BI and analytics data management platform. BI pros will need to pay close attention, because this new platform is inexpensive, highly scalable, and has the potential to disrupt the BI vendor landscape. QuickSight is based on AWS’ cloud infrastructure, so it shares AWS characteristics like elasticity, abstracted complexity, and a pay-per-use consumption model.”
Another monkey wrench for business intelligence vendors is that AWS QuickSight’s prices are not only reasonable, but are borderline scandalous: standard for $9/month per user or enterprise edition for $18/month per user.
Keep in mind, however, that AWS QuickSight is the newest shiny object on the business intelligence market, so it will have out-of-the-box problems, long-term ramifications are unknown, and reliance on database models and schemas. Do not forget that most business intelligence solutions do not resolve all issues, including ease of use and comprehensiveness. It might be better to wait until all the bugs are worked out of the system, unless you do not mind being a guinea pig.
Whitney Grace, November 11, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
University Partners up with Leidos to Investigate How to Cut Costs in Healthcare with Big Data Usage
October 22, 2015
The article on News360 titled Gulu Gambhir: Leidos Virginia Tech to Research Big Data Usage for Healthcare Field explains the partnership based on researching the possible reduction in healthcare costs through big data. Obviously, healthcare costs in this country have gotten out of control, and perhaps that is more clear to students who grew up watching the cost of single pain pill grow larger and larger without regulation. The article doesn’t go into detail on how the application of big data from electronic health records might ease costs, but Leidos CTO Gulu Gambhir sounds optimistic.
“The company said Thursday the team will utilize technical data from healthcare providers to develop methods that address the sector’s challenges in terms of cost and the quality of care. Gulu Gambhir, chief technology officer and a senior vice president at Leidos, said the company entered the partnership to gain knowledge for its commercial and federal healthcare business.”
The partnership also affords excellent opportunities for Virginia Tech students to gain real-world, hands-on knowledge of data research, hopefully while innovating the healthcare industry. Leidos has supplied funding to the university’s Center for Business Intelligence and Analytics as well as a fellowship program for grad students studying advanced information systems related to healthcare research.
Chelsea Kerwin, October 22, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Attivio Does Data Dexterity
October 9, 2015
Enterprise search company Attivio has an interesting post in their Data Dexterity Blog titled “3 Questions for the CEO.” We tend to keep a close eye on industry leader Attivio, and for good reason. In this post, the company’s senior director of product marketing Jane Zupan posed a few questions to her CEO, Stephen Baker, about their role in the enterprise search market. Her first question has Baker explaining his vision for the field’s future, “search-based data discovery”; he states:
“With search-based data discovery, you would simply type a question in your natural language like you do when you perform a search in Google and get an answer. This type of search doesn’t require a visualization tool. So, for example, you could ask a question like ‘tell me what type of weather conditions which exist most of the time when I see a reduction in productivity in my oil wells.’ The answer that comes back, such as ‘snow,’ or ‘sleet,’ gives you insights into how weather patterns affect productivity. Right now, search can’t infer what a question means. They match the words in a query, or keywords, with words in a document. But [research firm] Gartner says that there is an increasing importance for an interface in BI tools that extend BI content creation, analysis and data discovery to non-skilled users. You don’t need to be familiar with the data or be a business analyst or data scientist. You can be anyone and simply ask a question in your words and have the search engine deliver the relevant set of documents.”
Yes, many of us are looking forward to that day. Will Attivio be the first to deliver? The interview goes on to discuss the meaning of the company’s slogan, “the data dexterity company.” Part of the answer involves gaining access to “dark data” buried within organizations’ data silos. Finally, Zupan asks what “sets Attivio apart?” Baker’s answers: the ability to quickly access data from more sources; deriving structure from and analyzing unstructured data; and friendliness to “non-technical” users.
Launched in 2008, Attivio is headquartered in Newton, Massachusetts. Their team includes folks with an advantageous combination of backgrounds: in search, database, and business intelligence companies.
Cynthia Murrell, October 9, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Business Intelligence and Data Science: There Is a Difference
October 6, 2015
An article at the SmartDataCollective, “The Difference Between Business Intelligence and Real Data Science,” aims to help companies avoid a common pitfall. Writer Brigg Patton explains:
“To gain a competitive business advantage, companies have started combining and transforming data, which forms part of the real data science. At the same time, they are also carrying out Business Intelligence (BI) activities, such as creating charts, reports or graphs and using the data. Although there are great differences between the two sets of activities, they are equally important and complement each other well.
“For executing the BI functions and data science activities, most companies have professionally dedicated BI analysts as well as data scientists. However, it is here that companies often confuse the two without realizing that these two roles require different expertise. It is unfair to expect a BI analyst to be able to make accurate forecasts for the business. It could even spell disaster for any business. By studying the major differences between BI and real data science, you can choose the right candidate for the right tasks in your enterprise.”
So fund both, gentle reader. Patton distinguishes each position’s area of focus, the different ways they use and look at data, and their sources, migration needs, and job processes. If need to hire someone to perform these jobs, check out this handy clarification before you write up those job descriptions.
Cynthia Murrell, October 6, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
NTENT Has a New CEO
September 29, 2015
NTENT is a leading natural language processing and semantic search company, that owns the Convera technology, and according to Business Wire Dan Stickel was hired as the new CEO, says “NTENT Appoints Dan Stickel As New CEO.” NTENT is focused on expanding the company with AltaVista and Google. Using Stickel’s experience, NTENT has big plans and is sure that Stickel will lead the company to success.
“CEO, Stickel’s first objective will be to prioritize NTENT’s planned expansion along geographic, market and technology dimensions. ‘After spending significant time with NTENT’s Board, management team and front-line employees, I’m excited by the company’s opportunities and by the foundation that’s already been laid in both traditional web and newer mobile capabilities. NTENT has clearly built some world-class technology, and is now scaling that out with customers and partners.’”
In his past positions as CEO at Metaforic and Webtrends s well as head of the enterprise business at AltaVista and software business at Macrovision, Stickel has transitioned companies to become the leaders in their respective industries.
The demand for natural language processing software and incorporating it into semantic search is one of the biggest IT trends at the moment. The field is demanding innovation and NTENT believes Stickel will guide them.
Whitney Grace, September 29, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Help Wanted: Chief Marketing Technology Officer
September 28, 2015
A new, indispensable position for companies is the chief technology officer or the chief information officer. Their primary responsibilities are to manage the IT department, implement new ways to manage information, and/or develop software as needed. There is a new position that companies will be creating in the future and the title is chief marketing technology officer, says Live Mint in “Make Way CIOS, CMOS: Here Comes The CMTO.”
Formerly the marketing and IT departments never mixed, except for the occasional social media collaboration. Marketers are increasing their reliance on technology to understand their customers and it goes far beyond social media. Marketers need to be aware of the growing trends in mobile shopping and search, digital analytics, gamification, online communities, and the power of user-generated content.
“The CMO’s role will graduate to CMTO, a marketer with considerable knowledge of technology. The CMTO, according to Nasscom, will not only conceptualize but also build solutions and lay down the technical and commercial specifications while working alongside the IT team on vendor selection.”
It is not enough to know how to market a product or promote an organization. Marketers need to be able to engage with technology and understand how to implement to attract modern customers and increase sales. In other words, evolving the current marketing position with a new buzzword.
Whitney Grace, September 28, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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