It's all about the users
I’m trying really hard to write less about business intelligence and analytics software. We get it: Data is important to businesses, and the…
Big deal in BI
Storage vendor Hitachi Data Systems is set to buy analytics company Pentaho at a price rumored to be between $500 million and $600 million…
Modern reporting solutions are based on individual empowerment, providing users the tools to design their own reports, configure dashboards, and explore visualizations in real time.
Data power to the people
Last month, [company]IBM[/company] made available the beta version of its Watson Analytics data analysis service, an offering first announced in September. It’s…
Expect technologies and processes that will make day-to-day tasks more personalized, enhance employee engagement, and alter the overall culture of the workplace in 2015.
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Having…
Adoption of analytics technology amongst marketing professionals is prolific, perhaps more so than with any other part of the business. You might…
Tableau continues to grow at a fast pace, hitting the $100 million mark for the first time in the third quarter. Although there are plenty of startups willing to point out its weaknesses, Tableau has lots of room to grow and the money to do it.
Application-performance monitoring startup AppDynamics now has a real-time analytics service called Application Analytics, it said Monday. The service lets organizations analyze all…
Not everyone has a huge marketing department and budget. But new BI tools can level the playing field.
On their own, visualization, data science and machine learning don’t solve the challenge of data analysis for businesses. Users need a new approach that combines the strengths of all of these approaches.
BI systems have encapsulated a very waterfall-like approach, where a large amount of design work must be done by technology professionals up…
Tableau Software is taking the wraps off a new project called Elastic, which will bring the company’s style of simplified data analysis to tablet users. The goal is to let small businesses and individuals enjoy analyzing their data, without the pain of mastering desktop tools.
Predictive analytics methods are extremely useful when dealing with the likes of fraudulent activity, imminent hardware failures, or credit risk. But these analytics algorithms are still somewhat limited. Here’s what IT can learn.
Attempting to meet the demands of data growth, organizations are turning to new storage technologies, such as large physical storage arrays, cloud services, and archival solutions. Yet all of those solutions introduce additional concerns, management overhead, and costs.
Tableau Software beat Wall Street’s expectations and continued its skyrocketing revenue growth. Its $90.7 million second quarter represents 82 percent annual revenue growth.
Prism Skylabs, a video analytics startup targeting retailers, is hoping that new WiFi-randomization features in iOS 8 helping to cull the competitive market and improve consumer privacy. Its a hope many consumers probably share, but it could also be wishful thinking.
Implementing a contiguous, enterprise-wide data storage architecture can be used to break down the barriers and relieve applications of the burden of data silos.
Analytics startup DataHero hopes it can build “a BI layer over SaaS” and is opening up its cloud service in order to prove it. Users of the free version can now combine data from popular SaaS apps without a trial-period limitation.
CIOs can create and sustain the leadership role and functional IT department needed to foster innovation and execute on visionary change. Such a transformation can be substantially completed within two years.
Business intelligence startup SiSense has raised a $30 million third round of venture capital from DFJ Growth, as well as existing investors Battery Ventures,…
To take full advantage of what modeling and analytics can offer for effective planning and execution and integrate data into every decision process, businesses must put flexible tools directly into the hands of operations.
Understanding customer behavior is critical, but predicting future behavior is a goldmine. Knowing when customers are ready to buy or cancel or…
Data analytics and visualization specialist Tableau Software announced its first-quarter financial results on Monday, touting $74.6 million in revenue and an 86…
Data Elite launched in October promising office space, advice and funding to data-focused startups founded by experienced teams. On Thursday, the firm announced its first seven portfolio companies, which span a wide range of products.
TIBCO has acquired Jaspersoft in a move that could signal further consolidation in the business intelligence space. Vendors such as Tableau and Microsoft dominate in terms mindshare and capabilities, leaving other big players playing catch up by opening their wallets.
The sales organization may be a business’ richest source of data. Sales reps understand the value of their products, what sells and…
Hadoop startup Karmasphere, which launched in 2010, has sold its intellectual property to credit-scoring specialist FICO. Karmasphere appears to have been struggling for adoption and funding, so selling its assets was not an unforeseen turn of events.
Currently used to improve fracking, prescriptive analytics can not only show future outcomes, but it can also recalibrate algorithms to make better and better predictions for any industry.
Platfora has raised an impressive $38 million third round of venture capital in order to grow its next-generation analytics product designed to run on Hadoop data. The company has lots of momentum and a cool product, but also lots of entrenched competition.
Tableau (s data) and Splunk (s splk), two of the more successful (and ubiquitous) data startups turned public companies over the past…
DueDil, a rather clever London-based outfit that uses open (and purchased) datasets to provide due diligence services, has raised another $17 million…
New-look BI companies — Domo, Looker, Thoughtspot — are attracting big bucks from VCs who see gold in making big data accessible to mortals.
Give us your thoughts on what forces are shaping the industry, and which companies might be best-positioned to harness them.
With a founding team out of Nutanix, Google and Yahoo, ThoughtSpot is pushing a new in-memory analytics and visualization engine delivered via appliance. Appliances can be risky, but when they work, they work.
Tableau had a huge fourth quarter and year in 2013, nearly doubling its year-over-year revenues for both periods, and putting it on a collision course with its larger competitors in a few years’ time.
Cloud ERP vendors have addressed many SaaS security concerns, but regulatory, geographic, or scale issues will lead to on-premises implementations of private or hybrid clouds in many environments.
It was another busy news day in the big data world. Here are some of the more-interesting items you might have missed if you blinked.
Cloud computing adoption must accommodate the dynamic requirements dictated by economics, organizational factors, and risk, in addition to changing technological factors.
Microsoft says it has seen the light in terms of designing software that business users actually want to use. For its new Q&A feature for visualizing Excel data, for example, the product team spent six weeks thinking about UI before even thinking about technology.
Traditional ERP systems were designed to support in-house, vertically integrated processes and supply chains that rarely changed.
A set of redefining technological trends is reshaping the landscape from a slow and cumbersome process practiced mainly by large enterprises to a much more flexible, agile process that mid-market companies as well as individuals can utilize.
The business intelligence (BI) market is flooded with new entrants vying for attention alongside old, billion dollar behemoths, making the market a confusing place for business users looking for analytics tools.
So far, use of business intelligence is still limited. Making it more compact, more embedded, often cloud-hosted, and often self-service will be crucial for increasing its value and success rate.
Business intelligence and analytics startup Birst has raised a $38 million Series E round led by Sequoia Capital. Birst has been very…
Looker, a Santa Cruz, Calif.-based business intelligence startup, has raised a $16 million series A round from Redpoint Ventures and First Round…
William McKnight is an Analyst for Gigaom Research who takes corporate information and turns it into a bottom-line producing asset. He’s worked with…
In this webinar, we’ll talk about how you add data analytics to your product and then sell that as a service to your customers. We will look at some of the challenges to consider when you go down this path, such as data privacy laws around customer data and the integration challenges of connecting many different data sources.
A startup called DataRPM is hosting what it calls an “askathon” where business analysts compete to see who can come up with the best set of questions to ask their CRM system. It’s hardly a Red-Bull-fueled all-nighter but, hey, this is business intelligence.
Several vendors are peddling business-intelligence applications that are easy for lots of employees to use wherever they are. Startup Zoomdata is taking on Series A funding to keep up in amid a busy market.
How do you make PaaS work for your enterprise? The answer lies in understanding new models of delivery, such as private PaaS. An enterprise needs a good understanding of its requirements, and this paper aims to help business managers find the best path to understanding and deploying this technology.
Few companies today have the time or the analytics expertise to apply statistics and complex data modeling to regular or even daily business decisions and operations. Now, however, an ecosystem of companies is emerging to fill this need.
Tableau’s initial public offering is on Friday, and expectations are high. The company has inspired much of the next-generation analytics space, and how it fares could be telling about just how powerful the data movement is.
In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated query capabilities into database management system (DBMS) engines.For some use cases, there appears to be room for a third approach that lies between the extremes and borrows from the best of each.
SiSense has been growing like mad with its analytic database and BI software that’s designed to maximize the disk, memory and CPU on even small computers in the name of low latency.
Spurred by infrastructural innovations such as Hadoop and NoSQL, we’re seeing the beginning of a new analytic stack that’s all about deal with big data in an easier, more-transparent way than ever before.
Looker Data Services has raised $2 million to help more enterprise employees easily run targeted business-intelligence queries with a proprietary SQL-based language called LookML.
The concept of bringing social media sentiment closer to business intelligence is a sensible move that can help companies create more value from social media.
Tableau’s new European VP James Eiloart reckons that Europe’s current belt-tightening phase should provide ample opportunities for his company’s analytics products, in spite of established local rivals.
While some are hoping for better software to reduce the need for data scientists, WibiData’s Omer Trajman thinks we need more of them. Better software, he argues, is actually just a tool to make it easier for data scientists to do world-changing work.
ClearStory Data has raised $9 million from from KPCB, Andreessen Horowitz and Google Ventures in an attempt to plant its stake in the world next-generation analytics platforms. Big data is presenting a big challenge for business users, and they need help making sense of it.
In today’s connected world, consumers have increasing power to make and break companies
Eight years after forming, a startup called BeyondCore is finally launching publicly with a product it claims can revolutionize analytics. Rather than making analysts search for the needle in the haystack, BeyondCore says it remove the human element and deliver that needle on a silver platter.
Less than a month after unveiling its Hadoop analytics engine to great fanfare, Platfora has raised $20 million to realize its mission of displacing the business intelligence and data warehouse incumbents. It’ll need every dime: although the competition is old, it’s also rich, entrenched and determined.
Analytics startup Platfora is finally showing off its next-generation business intelligence software to the world, combining Hadoop, in-memory processing and HTML5 into an impressive product. It’s entering a competitive market full of large incumbents and other innovative startups all trying to change how we do BI.
InfoArmy, a startup that creates crowd-sourced competitive intelligence reports for the iPad, has raised $17.3 million from Norwest Venture partners and Trinity Ventures. InfoArmy was founded Jim Fowler, who sold his previous startup Jigsaw to Salesforce for $175.
Hadoop is getting closer to business intelligence thanks to a slew of new products ranging from a SQL database built atop Hadoop to an appliance packaging the two alongside a full complement of servers. On Wednesday, Birst, Teradata and Splice Machine got into the act.
Hadoop startup Hadapt has made its unified Hadoop-and-SQL analytic architecture even easier by adding native advanced analytic functions and integrating tightly with Tableau’s powerful BI software. It’s a sign of things to come as Hadoop and traditional SQL-based BI become cozy across the board.
Application development is one of the oldest activities in enterprise IT and the one that has changed the most since the invention…
Researchers are using big data analytics to help improve the quality of life of multiple sclerosis patients.
Telcos and communications service providers (CSPs) are facing rapidly shrinking margins, competition from Over the Top providers and rising investment costs, which is putting tremendous pressure on their network analytics departments to do something!
Analytics startup Birst thinks it can make data warehouses more useful by letting business users inside of them. Its new Distributed Business Analytics product puts departmental sandboxes right inside the warehouse, letting users interact with all the data they need from a central location.
Jim Fowler, who sold his crowd-sourced business contact data company Jigsaw to Salesforce for $175 million in 2010, is back and he’s applying a crowd-sourced model to competitive intelligence, using a team of freelance researchers to build business reports on private companies.
Roambi is becoming a tool for more than creating cool, interactive data visualizations or real-time business intelligence reports your boss or colleagues will read on their iPad. Now Roambi is aiming to be a mobile app development/ publishing service with a new feature called ESX Platform.
Ask a venture capitalist about big data and she will probably tell you about visualization. Only it won’t be visualization in the usual sense. Instead, it will be about visualization of the user interface. We’re talking about strikingly intuitive UIs that let users visually work with data using charts and tools instead of with algorithms and code. It’s hard work to do right — especially when you’re talking about massive data sets and complex computations — but the payoff could be huge for businesses.
Birst, a San Francisco-based business intelligence company with its roots in the cloud, has raised $26 million from Sequoia Capital, Hummer Winblad and DAG Ventures. The new money comes as Birst tries to become a BI heavyweight by pushing its way into the software world, too.
Cloud computing and big data are in the enterprise to stay. IT decision makers have embraced, or at least accepted, the technologies, and companies now have the money to invest in them.
Social and mobile analytics startup Kontagent has expanded its business to include a data-mining service powered by Hive, the SQL-like interface for querying data stored within Hadoop. It’s a smart move by the company, and one that other cloud-based analytics providers would be wise to replicate.
Square is giving small vendors the tools to make intelligent decisions with the same sort of inventory management and analytics data that larger competitors take for granted. And it has the potential to make an even greater impact than its payment processing piece has made.
Big data today, is what the web was in 1993. We knew the web was something and that it might get big, but few of us really understood what “big” meant. Today, I believe we aren’t even scratching the surface of the big data opportunity.
Pentaho is moving its business intelligence tools to the Apache license to make them more compatible with big data technologies that already operate under that license. Pentaho’s Kettle extract, transform, load (ETL) technology was previously available under the LGPL or lesser Gnu General Public License.
Big data has become a big buzzword. But for companies to benefit from it, they need more than technology – they need a plan. Consultant Chad Richeson has developed seven steps to help business leaders make sure their big data strategy delivers the results they want.
If businesses have any doubt about the importance of Facebook data, they should talk to MicroStrategy CEO Michael Saylor. MicroStrategy makes business intelligence software that companies use to sift their way through data and visualize trends. But their data is worth less without Facebook data.
1010data says it now hosts more than 5 trillion records for its customers. If 1010data’s growth is a microcosm of the greater market, it’s no wonder there’s so much excitement around scalable data stores such as Hadoop, NoSQL databases and massively parallel analytic databases.
Oracle has acquired Endeca, a Cambridge, Mass.-based big data vendor specializing in analyzing and providing business intelligence for unstructured data. For Oracle, Endeca, which has been around since 2001, represents an expansion of the big data focus it unveiled at its OpenWorld conference earlier this month.
The term “big data” raises images of engineers figuring out how to run their systems at scale and monitor them. Some might argue that, as big data catches on with mainstream customers, hardware vendors are trying to take the guesswork out of that process. But vendors pushing appliances tell another story. Already, Oracle, EMC, Dell, HP, IBM, Teradata and Kognitio are among those pushing big data appliances designed for Hadoop, massively parallel databases, online transaction processing and/or other analytic workloads. Does this momentum suggest they’re onto something about how big data software must be delivered, or just that they smell an opportunity to turn a profit?
Data is playing a bigger role in how we do our work. According to a recent study by Factiva, there are at least six different personas that workers take on in their data work, illustrating the different ways we relate to this data.
Birst is taking the cloud out of its SaaS BI offering with a new deployment option that lets customers run the product in their own data centers. The company says its virtual appliance delivers all the benefits of traditional cloud-hosted SaaS without, well, the cloud part.
A French startup called We Are Cloud thinks it has taken cloud-based BI to the next level with a feature called QueryBlender that lets users combine live data sets to let users better make sense of their business by analyzing disparate data points against one another.
IBM showed how it will ride the growth of Big Data to continue its momentum into the future. IBM announced a $100 million investment for future data analytics along with new services and software aimed at helping improve data analysis and new services for IT professionals.
Panorama Software has announced the release of a socially-enabled business intelligence platform, Necto, to more effectively connect team members with company data. Think of Necto as way of putting reports and insights at the heart of a company’s social interactions.
IBM today announced a new product dedicated to helping customers perform sentiment analysis of social media data, as well as a new program with the Yale School of Management’s Center for Customer Insight to train students in advanced data analysis skills.
BI vendor Jaspersoft has expanded its software’s support to include pretty much the entire gamut of big data tools available. There might not be much business demand for all these connectors right now, but it’s wise for Jaspersoft to establish its presence in this area early.
Mobile-app-analytics startup Flurry is upgrading its data center network with Arista Networks 10 GigE switches, a move designed to improve network performance as Flurry continues to add both terabytes and nodes to its big data system. Is the network the hardware superstar in big data environments?
Anyone who’s walked the exhibition floor of a large IT tradeshow might recognize Splunk for its cleverly emblazoned T-shirts and bumper stickers. But beyond quirky sayings, there’s real value in Splunk’s IT search and monitoring product — so much so that it’s planning an IPO in 2012.
If you’ve been wondering why Enterprise 2.0 hasn’t taken off like it should, maybe it’s because companies have forgotten about business intelligence. Netvibes CEO Freddy Mini analyzes BI’s failure to adapt to the real-time web and offers a glimpse into what future of BI should be.
Business Intelligence (BI) applications have been growing in sophistication for years, and while historically many of the best ones were expensive, tough-to-use tools, there are now numerous easy, free, open-source alternatives. Here are five that can help you better understand your business.