Big Data / Analytics
The expanded Adobe-Microsoft partnership significantly deepens the strategic relationship between the two companies – a relationship that kicked off at Adobe MAX two years ago. With this new agreement, Microsoft displaces Amazon Web Services (AWS) in a large account and will be able to sell a leading marketing cloud portfolio (including market-leading experience management) to its Dynamics 365 Enterprise customers. Adobe gains a key ally (and a new channel – including both direct enterprise sales and partners) for Adobe Marketing Cloud as it girds for battle with marketing cloud competitors from the CRM arena that play broadly in digital marketing, sales and support.
At Microsoft Ignite, a sold-out event in Atlanta, CEOs Satya Nadella and Shantanu Narayan took the stage for the opening keynote on September 26, 2016 to announce an expanded partnership around cloud and customer engagement. Highlights of the new agreement include:
- Adobe is committing to Microsoft Azure as its preferred cloud provider for all three of its clouds: Creative Cloud, Document Cloud, and Marketing Cloud.
- Microsoft is committing to Adobe Marketing Cloud as its…
Monolithic, cobbled together antiquated ERP systems of record are the technology backbone of the majority of businesses today. While antiques such as jewelry, furniture and pottery may increase in value over time, systems of record have hit their demise because their design and value cannot match the digital business needs of today. The most competitive and digitally modern businesses have embraced new innovative business models unlocking the value of information. These new systems are smart; utilizing systems of record information layered with autonomic and predictive intelligence assets. IDC calls this enhanced ERP portfolio of applications "intelligent ERP," or "i-ERP," and it will run tomorrow's businesses in an increasingly digital world.
Monolithic, cobbled together antiquated ERP systems of record are the technology backbone of the majority of businesses today. While antiques such as jewelry, furniture and pottery may increase in value over time, systems of record have hit their demise because their design and value cannot match the digital business needs of today. The most competitive and digitally modern businesses have embraced new innovative business models unlocking the value of information. These new systems are smart;…
It took less than a week post-close for the newly merged Dell EMC to announce the divestiture of EMC's Enterprise Content Division (ECD) to OpenText, the natural acquirer for ECD's large Documentum customer base. OpenText continues its growth by acquisition strategy, becomes the clear market revenue leader in the content management market, and gets some interesting new products – despite daunting product overlap.
M&A Announcement Highlights
On September 12, 2016 OpenText announced a definitive agreement to acquire Dell EMC's Enterprise Content Division (ECD) for $1.62 billion, 2.7x ECD's FY 2015 revenue of $599 million. The deal is expected to close in 90 to 120 days and is subject to regulatory approval.
OpenText has grown by acquisition from $410 million in GAAP revenue in FY2006 to $1.9 billion in FY 2016. Dell EMC ECD is OpenText's largest acquisition to date and puts it on track for $2.5+…
MySQL began as a company-owned open source project to deliver low cost, easy to manage RDBMS technology to the masses. Today, there is a wide variety of companies offering complementary technologies, and more than a few offering variant distributions based on MySQL. All these are celebrated at Percona Live!, the MySQL user conference sponsored by a company that offers one of those variant distributions, but also supported by its competitors, including Oracle. At this year’s conference in San Jose, California, this analyst focused on two products offering variant MySQL technologies aimed at the analytic-transaction processing (ATP) space; DeepSQL and MemSQL.
MySQLbegan as an open source product with a “free” community version and an “enterprise” version that required a subscription. It gained broad adoption very quickly, especially among those developing Web based applications on large server farms, who simply could not afford the licensing fees, generally priced by processors or cores, that attended most commercial RDBMS products. After the owning company, MySQL AB, was acquired by Sun Microsystems, and Sun was acquired by Oracle…
A new kind of database query processing technology is emerging: one based on graphics processing units (GPUs). Unlike conventional technology that limits its processing to CPUs, these new products can crunch large sets of numbers in parallel in a fraction of the time that the same queries require on regular systems. This is because GPUs, which were originally developed to perform the calculations necessary to drive real-time graphics, can concentrate terrific processing power on many problems simultaneously. GPU databases promise to be a key to handling very complex queries, where answers are needed to drive ongoing processing in an increasingly dynamic, stream-driven, smart processing environment.
Since the first database was created in the 1960s, database technology has evolved to provide better support for complex queries. They pose tough challenges, because in addition to requiring the collection of data from all over the database, many calculations must be made, preferably in parallel. Decades ago, we accepted that such queries could run a long time; we would submit them in batch and hope they didn't time out during the 6 hour overnight batch window. Then came symmetrical…
As the market for intelligent applications and the software platforms used to build them has emerged over the last few years, there has been a lot of nomenclature confusion. What should we call these applications and what should we call the platforms, libraries and software tools used to build them?
The terminology matters. It should matter for vendors looking to differentiate their products from the business intelligence and predictive analytics software that has existing for decades. 'Intelligent applications' and 'business intelligence' software provide two very different sets of functionality. It should also matter to technology buyers, who need to explain and justify new solutions to those holding budget.
We could use the name of the types of algorithms to describe the platforms;…
......Given that we do not yet have a separate community for Digital Strategy-related topics, I thought that the Analytics and Big Data community would be good place to post this one. Here's the premise - Analytics and big data lead to better business insights around customers, operations, and products and services. Insights in turn define and defend corporate strategies in the digital era, and well executed strategies lead effective digital transformation. See if you agree.
Over the past twelve to eighteen months the business consulting industry has introduced a new lineup of digital services positioned to help clients accelerate successful digital risk taking and maximize value of digital enterprise strategies. New digital offerings from the largest, multi-national and technology-focused business consulting firms have come to market through acquisitions of smaller digital-led firms, by re-orientating traditional strategy, consulting, and tech/ops engagement…
Informatica announced an agreement on April 7 2015, to be acquired by Permira Funds partnered with Canada Pension Plan Investment Board. This article provides some of the details and speculates on why we are seeing a trend of public technology companies going private.
Data, whether big or little, is a hot topic that goes beyond the bits and bytes that make it up. Data is at the core of business operations, strategic planning, execution and outcome. Getting data from the bits and bytes to the business level requires functionality to profile, cleanse, integrate, secure and analyze relationships in and through it. Informatica, one of the leading pure play data management software vendors able to deliver these types of solutions, has agreed to cleanse,…
I recently completed an IDC MarketScape on Decision Management Software Platforms. This research project gave me the opportunity to speak to several vendors in the market including, FICO, IBM, Oracle, SAS and TIBCO, several of their customers who adopted the solutions, and put the findings in the context of the decision management research I have been doing for many years. Until this platform market emerged a few years ago, customers cobbled together rules engines, advanced analytic tools, interfaces and alerting capabilities to develop decision management solutions. These solutions used rules to enforce resource constraints or maintain compliance with external regulations and internal policies while applying predictive analytic models to generate optimal decision choices. These decision options could be automated if an event met acceptable confidence thresholds or served to front-line employees who could then take action based on recommendations.
The rise of Internet connected devices presents opportunities to harvest the data and leverage it for new types of intelligent applications and services. This post reviews some of the factors impacting demand and supply of a new wave of analytic applications.
Predictive Maintenance Applications and Services
In a recent visit to Mexico City for an IDC Big Data and Analytics conference , I spoke to a CIO from a large mining company. The maintenance of the equipment used in mining operations is a high value process. Unless the drilling equipment is functioning, mining operations stop. Given the distributed, remote sites where the mining is conducted, an unplanned failure of operational equipment can take days to repair, and can lead to millions…
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Welcome to the Business Analytics blog where business and IT professionals engage in ongoing discussions on best practices, emerging market trends, and latest market developments in business analytics, including data warehousing, advanced analytics, query, reporting, and analytic applications.
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