Top 10 Strategic Technology Trends for 2015 by Gartner

Again, also 2015 will be a great year for BI! 🙂

Gartner, Inc. today highlighted the top 10 technology trends that will be strategic for most organizations in 2015.

Gartner defines a strategic technology trend as one with the potential for significant impact on the organization in the next three years. Factors that denote significant impact include a high potential for disruption to the business, end users or IT, the need for a major investment, or the risk of being late to adopt. These technologies impact the organization’s long-term plans, programs and initiatives.

“We have identified the top 10 technology trends that organizations cannot afford to ignore in their strategic planning processes,” said David Cearley, vice president & Gartner Fellow. “This does not necessarily mean adoption and investment in all of the trends at the same rate, but companies should look to make deliberate decisions about them during the next two years.”



top-10-strategic-technology-trends-for-2015-gartner


Advanced, Pervasive and Invisible Analytics
Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data inside and outside the enterprise are analyzed. “Every app now needs to be an analytic app,” said Mr. Cearley. “Organizations need to manage how best to filter the huge amounts of data coming from the IoT, social media and wearable devices, and then deliver exactly the right information to the right person, at the right time. Analytics will become deeply, but invisibly embedded everywhere.” Big data remains an important enabler for this trend but the focus needs to shift to thinking about big questions and big answers first and big data second — the value is in the answers, not the data.

Read the full article from Gartner here.








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Magic Quadrant for Data Warehouse Database Management Systems

Thank Gartner for the info.

Entering 2014, the hype around replacing the data warehouse gives way to the more sensible strategy of augmenting it. New competitors have arisen, leveraging big data and cloud, while traditional vendors have invested — which will force improved execution from new technology companies.

For this Magic Quadrant, we define a DBMS as a complete software system that supports and manages a database or databases in some form of storage medium (which can include hard-disk drives, flash memory, and solid-state drives or even RAM). Data warehouse DBMSs are systems that can perform relational data processing and can extended to support new structures and data types, such as XML, text, documents, and access to externally managed file systems. They must support data availability to independent front-end application software, include mechanisms to isolate workload requirements (see Note 2) and control various parameters of end-user access within managed instances of the data.

A data warehouse is a solution architecture that may consist of many different technologies in combination (see Note 3). At the core, however, any vendor offering or combination of offerings must exhibit the capability of providing access to the files or tables under management by open access tools. A data warehouse is simply a warehouse of data, not a specific class or type of technology.

In 2014, this Magic Quadrant introduces non-relational data management systems for the first time. No specific rating advantage is given regarding the type of data store used (for example, DBMS, Hadoop Distributed File System [HDFS]; relational, key-value, document; row, column and so on). All vendors are expected to provide multiple solutions (although one approach is adequate for inclusion), each demonstrating maturity and customer adoption. Also, cloud solutions (such as platform as a service) are considered viable alternatives to on-premises warehouses.

A data warehouse DBMS is now expected to coordinate data virtualization strategies, and distributed file and/or processing approaches, to address changes in data management and access requirements.

Magic Quadrant for Data Warehouse Database Management Systems 2014

Microsoft

Microsoft (www.microsoft.com) markets SQL Server 2012 (Service Pack 1 has been available since November 2012), a reference architecture and the parallel data warehouse appliance. Microsoft does not report customer or license counts. Gartner estimates Microsoft’s relational DBMS revenue grew 13.6% during 2013 — faster than the overall market.

Strengths
– Microsoft offers appliances, reference architectures including a variety of hardware, prebuilt offerings built to customer selections then delivered ready to run, software licensing and managed services data warehouses.
– Customers report a low count of software issues, above-average customer experience and obvious interoperability with Excel (and Office).They also like the easy-to-understand licensing and pricing — adding to execution.
– Customers are predominantly on the current release, and almost 60% of customers report it is their data warehouse standard. Microsoft has taken steps in pursuing the LDW with HDInsight (HDP for Windows), PolyBase and Microsoft Cloud (Windows Azure Infrastructure Services can be used to deploy a data warehouse).

Cautions
– Microsoft is catching up with the other leaders, but a fast-follower market demand still drives the Microsoft road map. However, Microsoft has demonstrated its willingness to be aggressive in certain areas (such as unstructured data via SharePoint search and Azure).
– Organizations report large volumes of data but, in general, Microsoft data warehouses have a small number of users — better examples of scaling warehouses are needed. Customers want easier access to usable metadata for heterogeneous environments.
– Reference customers still report a significant cost advantage, but inquiries indicate that even small price increases do matter and Microsoft needs to maintain its price differentiation from other vendors.

More info.








Gartner’s Magic Quadrant for Advanced Analytics Platforms 2014

Gartner’s Magic Quadrant for Advanced Analytics Platforms 2014

Predictive analytics and other categories of advanced analytics are becoming a major factor in the analytics market. We evaluate the leading providers of advanced analytics platforms that are used to build solutions from scratch.

It’s such a pivotal moment for data scientists and the growing open-source R community that Gartner has embarked on its first ever Magic Quadrant for Advanced Analytics Platforms. Gartner estimates advanced analytics to be a $2 billion market that spans a broad array of industries globally, and ‘Gartner predicts business intelligence and analytics will remain top focus for CIOs Through 2017.’ We believe that this new Magic Quadrant puts a spotlight on big data as the great analytics disruptor which we feel highlights the need for solutions like Revolution Analytics’ that are built upon a flexible, open platform, and designed for today’s Big Data Big Analytics challenges.” — Dave Rich


Magic Quadrant for Advanced Analytics Platforms 2014








Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Microsoft offers a competitive and expanding set of BI and analytics capabilities, packaging and pricing that appeal to Microsoft developers, independent distributors and now to business users. It does so through a combination of enhanced BI and data discovery capabilities in Office (Excel) 2013, data management capabilities in SQL Server, and collaboration, content, and user and usage management capabilities in SharePoint.



Magic Quadrant for Business Intelligence and Analytics Platforms 2014


More info:
Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms 2014

Gartner’s Magic Quadrant for BI Platforms 2013







Yahoo! 24TB SSAS Cube – Big Data Case Study + Slides

Thanks Denny Glee for sharing this.

It’s old news, but still it’s very cool 🙂
I always thought that Yahoo! had a 7TB SSAS Cube, but it has been growing of course.
As of dec 2012, it reached 24TB!!

Microsoft Case Study:
Yahoo! Improves Campaign Effectiveness, Boosts Ad Revenue with Big Data Solution

Some key numbers from this case study include:

24TB Analysis Services MOLAP cube
2PB source data of a 14PB Hadoop cluster
700M unique users, 47% of the global online population
3.5B ad impressions/day

Yahoo-24TB-Cube-Platform-Architecture

Yahoo-24TB-Cube-Querying-the-Platform-Architecture

More slides can be found here.

Source:
http://dennyglee.com/2012/12/08/yahoo-24tb-ssas-big-data-case-study-slides/








Power Map is released (Office 2013 SP1)!

As of yesterday, Power Map was released as part of Office 2013 SP1.

Power Map for Excel - Office 2013 SP1



More info about the announcement:
Power Map for Excel Now Generally Available, Automatically Updated for Office 365

Announcing the release of Service Pack 1 for Office 2013 and SharePoint 2013





Important:
(thanks Chris Webb for the headsup!)

One important point to note here is that Power Map will only be available to Office 365 customers. If you have a standalone version of Excel, or have a regular (ie not Office 365) Professional Plus license, you will no longer be able to use Power Map. See:

http://office.microsoft.com/en-us/excel-help/power-map-for-excel-HA104204034.aspx?redir=0

Power Map for Excel New!

If you have a subscription for Microsoft Office 365 ProPlus, Office 365 Midsize Business, or for the Office 365 Enterprise E3 or E4 plans, you’ll have access to Power Map as part of the self-service business intelligence tools. To determine which subscription you have, see Office 365 ProPlus and Compare All Office 365 for Business Plans.

If you have Office 2013 Professional Plus or a standalone version of Excel 2013, you’ll be able to download and use the Power Map Preview for Excel 2013 until May 30, 2014. After that date, the preview will no longer work in any non-Office 365 subscription version of Excel.

To learn more about Power Map, see Get started with Power Map.



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Don’t forget to join the ‘Microsoft Power BI‘ group on LinkedIn and stay updated!:
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Power BI (Office 365) pricing has been announced

Many thanks to SQL Chick (Melissa Coates) for the news!

The features you have end up being the same (more on that below). The differences shown below are only related to what prerequisites you already have in order to determine pricing.

Power-BI-Pricing-without-E3-E4

Pricing for the E3/E4 plans is shown in the next screen shot. The importance of E3/E4 is that they come with Office 2013 Professional Plus and SharePoint Online (SPO) Plan 2 – both of which are important prerequisites for Power BI features and functionality.

Office-365-E3-E4-Pricing

Let’s say you are an E3 subscriber at $20/month. Add the $20/month special offer price for Power BI and it’s a total of $40/month per user. That’s much better pricing than the $52 shown in the far right hand column of the pricing chart. Hmmm…sounds like a price break to entice more customers to the Enterprise Office 365 plans.

Good tip! 🙂



Join us at LinkedIn!
Don’t forget to join the ‘Microsoft Power BI‘ group on LinkedIn and stay updated!:
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