Big Data

Cloud Computing: Aria Embeds Analytics within Billing Management Service

Grazed from TalkinCloud. Author: Mike Vizard.

In a digital economy business models are constantly in a state of flux. Other than the fact that they generally involve some form of subscription revenue no one is ever quite sure how to best price a particular good or service. As a result, there tends to be a lot more reliance on analytics applications to make sense of the overall digital economy.

Aria Systems today announced that it is making it a lot simpler to take advantage of those analytics by embedding Aria Revenue Analytics software inside its cloud service for managing billing. Designed to make it simpler to support multiple types of billing models, Adeeb Shanaa, senior vice president of products and engineering for Aria Systems, says Aria Revenue Analytics will provide a way for organizations to more easily discern, for example, which customers have the greatest lifetime value...

10 ways big data is revolutionising supply chain management

Grazed from CloudComputing.net.  Author: Louis Columbus.

Big data is providing supplier networks with greater data accuracy, clarity, and insights, leading to more contextual intelligence shared across supply chains.  Forward-thinking manufacturers are orchestrating 80% or more of their supplier network activity outside their four walls, using big data and cloud-based technologies to get beyond the constraints of legacy enterprise resource planning (ERP) and supply chain management (SCM) systems.

For manufacturers whose business models are based on rapid product lifecycles and speed, legacy ERP systems are a bottleneck.  Designed for delivering order, shipment and transactional data, these systems aren’t capable of scaling to meet the challenges supply chains face today...

Big data, cloud, mobility, and why IT needs to move at the speed of business

Grazed from CloudTech. Author: Ian Moyse.

“We change our behaviour when the pain of staying the same becomes greater than the pain of changing. Consequences give us the pain that motivates us to change” – Dr. Henry Cloud and Dr. John Townsend Successful businesses require the ability to change and increasingly to adapt quickly, to be agile to new approaches and technologies and be flexible to the needs of the business and customers.

We are at the wake of monumental change and how businesses service and engage with the customer and employee alike are under upward pressure from users and customers who are driving a higher expectation on their provider where brand loyalty can wane quicker than ever before. Of the Fortune 500 firms in 1955, come 2015 89% of the list has changed, having either gone bankrupt, merged, or exist but have fallen from the Fortune 500...

Analytics, big data most common cloud tasks for developers

Grazed from CloudTech.  Author: Editorial Staff.

Big Data and analytics are the most common cloud tasks for nearly eight in 10 developers, according to research by market intelligence group Evans Data Corporation.

Its report revealed that 79 per cent of 578 developers spend 42 per cent of their time on the tasks, as well as discovering that those who associate cloud computing with the Internet of Things (IoT) are three times as likely to use the cloud as the basis of their development...

IBM snaps up Compose to extend its cloudy database options

Grazed from Fortune. Author: Barb Darrow.

IBM continues to build out its database portfolio with the acquisition of Compose, which offers several open-source-oriented database options. Compose, which raised about $6.4 million dollars since its founding in 2011, is privately held; terms of the IBM purchase were not disclosed.

What Compose, in Mountain View, Calif., brings to the table is a way to attract a new flock of web and mobile developers that are not part of the IBM enterprise rubric and let them try out lightweight database services based on MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB and other databases...

Cloud Computing: SAP Kills Two Birds With One Stone, Integrating Predictive Analytics with Big Data & IoT

Grazed from Forbes.  Author: Editorial Staff.

Last month, global software giant SAP SE announced that its Predictive Analytics Software has been upgraded to include integration for big data and Internet of Things (IoT) analytics. The stronger integration of SAP HANA analytics with IoT serves the increasing number of customers that apply analytics to the enormous amount of data generated in IoT applications. From an analytics standpoint, customers will now be able to gain insights into big data derived from IoT. On the other hand, IoT enterprises will be able to gain analytical insights that were insofar not available as easily.

This gives SAP a dual advantage in the two budding and highly sought after markets, namely predictive analytics and IoT.  SAP has been aggressively making a push into IoT , and the latest update to its Predictive Analytics software further expands its product portfolio in the IoT market. It also gives the company another step up against competition from leading cloud computing vendor, Salesforce.com, which is targeting the cloud analytics market as its next growth frontier...

Better Analytics Must Address Cloud Computing's Remaining Challenges

Grazed from InformationWeek. Author: Bob Violino.

Without proper analytics in place, many cloud services customers are wasting resources, struggling with compliance and suffering from outages and unexpected costs, according to a new study from Forrester Research. The study, sponsored by enterprise cloud hosting provider iLand, shows that all of the 275 IT decision makers and senior business executives surveyed in the United States, United Kingdom and Singapore said they’ve experienced at least one negative financial or operational impact due to missing or hidden metadata.

These negative business impacts include outages, wasted resources, unexpected costs and challenges reporting to management. “Companies aren’t just using the cloud—they depend on it,” the report says. “Nevertheless, cloud providers fail to keep cloud users happy. As companies expand their use of cloud services, they need to be confident that their cloud providers aren’t holding anything back, and are committed to their success.”...

Big data in the cloud - where next?

Grazed from InformationAge. Author: Ben Rossi.

Big data is to the information age what the steam engine was to the industrial revolution. From expanding user intelligence to improving operational efficiencies, big data has revolutionised market places. IDC predicts that by 2020 we will create 44 zettabytes, or 44 trillion gigabytes, of data annually. To transform big data into information that drives business value it needs to be analysed. Unsurprisingly, crunching big data requires seriously big compute and a solid infrastructure to support it.

The data boom

Our insatiable desire for data insights did not begin with big data. If we look back to the 90s tech boom, business intelligence (BI) tools were the new big thing. BI allowed organisations to report and analyse company data, but unfortunately these systems were confined to dedicated data warehouses running specialist servers. As a result, conducting BI was too expensive and technical for the majority of enterprises.

See more at: http://www.information-age.com/technology/cloud-and-virtualisation/123459765/big-data-cloud-where-next#sthash.PyXDoyGM.dpuf

Cloud data warehouse race heats up

 Grazed from ZDNet.  Author: Andrew Brust.

The notion of running a data warehouse in the cloud was a pretty novel thing when Amazon Web Services launched its Redshift service in November of 2012. Most on-premises data warehouse (DW) platforms are appliance-based, which makes them difficult to expand, and the resulting need to leave room for growth also makes them expensive to acquire.

In the cloud though, economics are better, elasticity is realistic and logistics are streamlined. Combine that with the ability to handle "big data" volumes with the familiar SQL/relational model that Redshift uses and it's hardly surprising that the service has been one of Amazon's fastest growing since its launch...

Unifying the big content, big data divide

Grazed from CCI.  Author: Mika Javanainen.

While cloud computing is credited with offering more effective ways to utilise applications, it can also further complicate the task of document and content management with the introduction of new sets of information silos.  Many companies are encountering issues with ‘dark data’ because they maintain multiple information silos in the cloud and on-premises that contain business-critical data sets that other systems cannot leverage. These repositories often contain massive amounts of Big Data (structured data) and Big Content (unstructured content).

To effectively connect these silos and ensure information workers have fast access to all of the content they need, it’s important to first understand their differences. Structured data (Big Data) is information that resides in various databases and business systems such as CRM and ERP solutions -- much of which is often maintained by different lines of business and isolated to specific users and applications...