Tag Archives: cloud integration
With practically every on-premise application having a counterpart in the SaaS world, enterprise IT departments have truly made the leap to a new way of computing that is transforming their organizations. The last mile of cloud transformation lies in the field of integration, and it is for this purpose that Informatica had a dedicated Cloud Day this year at Informatica World 2014.
The day kicked off with an introduction by Ronen Schwartz, VP and GM of Informatica Cloud, to the themes of intelligent data integration, comprehensive cloud data management, and cloud process automation. The point was made that with SaaS applications being customized frequently, and the need for more data insights from these apps, it is important to have a single platform that can excel at both batch and real-time integration. A whole series of exciting panel discussions followed, ranging from mission critical Salesforce.com integration, to cloud data warehouses, to hybrid integration use cases involving Informatica PowerCenter and Informatica Cloud.
In the mission critical Salesforce.com integration panel, we had speakers from Intuit, InsideTrack, and Cloud Sherpas. Intuit talked about how they went live with Informatica Cloud in under four weeks, with only two developers on hand. InsideTrack had an interesting use case, wherein, they were using the force.com platform to build a native app that tracked performance of students and the impact of coaching on them. InsideTrack connected to several databases outside the Salesforce platform to perform sophisticated analytics and bring them into their app through the power of Informatica Cloud. Cloud Sherpas, a premier System Integrator, and close partner of both Salesforce.com and Informatica outlined three customer case studies of how they used Informatica Cloud to solve complex integration challenges. The first was a medical devices company that was trying to receive up-to-the-minute price quotes be integrating Salesforce and SAP, the second was a global pharmaceuticals company that was using Salesforce to capture data about their research subjects and needed to synchronize that information with their databases, and the third was Salesforce.com itself.
The die-hard data geeks came out in full force for the cloud data warehousing panel. Accomplished speakers from Microstrategy, Amazon, and The Weather Channel discussed data warehousing using Amazon Web Services. A first-time attendee to this panel would have assumed that cloud data warehousing simply dealt with running relational databases on virtual machines spun up from EC2, but instead participants were in enthralled to learn that Amazon Redshift was a relational database that ran 100% in the cloud. The Weather Channel uses Amazon Redshift to perform analytics on almost 750 million rows of data. Using Informatica Cloud, they can load this data into Redshift in a mere half hour. Microstrategy talked about their cloud analytics initiatives and how they looked at it holistically from a hybrid standpoint.
On that note, it was time for the panel of hybrid integration practitioners to take the stage, with Qualcomm and Conde Nast discussing their use of PowerCenter and Cloud. Qualcomm emphasized that the value of Informatica Cloud was the easy access to a variety of connectors, and that they were using connectors for Salesforce, NetSuite, several relational databases, and web services. Conde Nast mentioned that it was extremely easy to port mappings between PowerCenter and Cloud due to the common code base between the two.
Salesforce.com is one of the most widely used cloud applications across every industry. Initially, Salesforce gained dominance from mid-market customers due to the agility and ease of deployment that the SaaS approach delivered. A cloud-based CRM system enabled SMB companies to easily automate sales processes that recorded customer interactions during the sales cycle and scale without costly infrastructure to maintain. This resulted in faster growth, thereby showing rapid ROI of a Salesforce deployment in most cases.
The Eye of the Enterprise
When larger enterprises saw the rapid growth that mid-market players had achieved, they realized that Salesforce was a unique technology enabler capable of helping their businesses to also speed time to market and scale more effectively. In most enterpises, the Salesforce deployments were driven by line-of-business units such as Sales and Customer Service, with varying degrees of coordination with central IT groups – in fact, most initial deployments of Salesforce orgs were done fairly autonomously from central IT.
With Great Growth Comes Greater Integration Challenges
When these business units needed to engage with each other to run cross functional tasks, the lack of a single customer view across the siloed Salesforce instances became a problem. Each individual Salesforce org had its own version of the truth and it was impossible to locate where in the sales cycle each customer was in respect to each business unit. As a consequence, cross-selling and upselling became very difficult. In short, the very application that was a key technology enabler for growth was now posing challenges to meet business objectives.
Scaling for Growth with Custom Apps
While many companies use the pre-packaged functionality in Salesforce, ISVs have also begun building custom apps using the Force.com platform due to its extensibility and rapid customization features. By using Salesforce to build native applications from the ground up, they could design innovative user interfaces that expose powerful functionality to end users. However, to truly add value, it was not just the user interface that was important, but also the back-end of the technology stack. This was especially evident when it came to aggregating data from several sources, and surfacing them in the custom Force.com apps.
On April 23rd at 10am PDT, you’ll hear how two CIOs from two different companies tackled the above integration challenges with Salesforce: Rising Star finalist of the 2013 Silicon Valley Business Journal CIO Awards, Eric Johnson of Informatica, and Computerworld’s 2014 Premier 100 IT Leaders, Derald Sue of InsideTrack.
SaaS companies are growing rapidly and becoming the top priority for most CIOs. With such high growth expectations, many SaaS vendors are investing in sales and marketing to acquire new customers even if it means having a negative net profit margin as a result. Moreover, with the pressure to grow rapidly, there is an increased urgency to ensure that the Average Sales Price (ASP) of every transaction increases in order to meet revenue targets.
The nature of the cloud allows these SaaS companies to release new features every few months, which sales reps can then promote to new customers. When new functionalities are not used nor understood, customers often feel that they have overpaid for a SaaS product. In such cases, customers usually downgrade to a lower-priced edition or worse, leave the vendor entirely. To make up for this loss, the sales representatives must work harder to acquire new leads, which results in less attention for existing customers. Preventing customer churn is very important. The Cost to Acquire a Customer (CAC) for upsells is 19% of the CAC to acquire new customer dollars. In comparison, the CAC to renew existing customers is only 15% of the CAC to acquire new customer dollars.
Accurate customer usage data helps determine which features customers use and which are under utilized. Gathering this data can help pinpoint high-value features that are not used, especially for customers that have recently upgraded to a higher edition. The process of collecting this data involves several touch points – from recording clicks within the app to analyzing the open rate of entire modules. This is where embedded cloud integration comes into play.
Embedding integration within a SaaS application allows vendors to gain operational insights into each aspect of how their app is being used. With this data, vendors are able to provide feedback to product management in regards to further improvements. Additionally, embedding integration can alert the customer success management team of potential churn, thereby allowing them to implement preventative measures.
To learn more about how a specialized analytics environment can be set up for SaaS apps, join Informatica and Gainsight on April 9th at 10am PDT for an informational webinar Powering Customer Analytics with Embedded Cloud Integration.
An explosion in mobile devices and social media usage has been the driving force behind large brands using big data solutions for deep, insightful analytics. In fact, a recent mobile consumer survey found that 71% of people used their mobile devices to access social media.
With social media becoming a major avenue for advertising, and mobile devices being the medium of access, there are numerous data points that global brands can cross-reference to get a more complete picture of their consumer, and their buying propensities. Analyzing these multitudes of data points is the reason behind the rise of big data solutions such as Hadoop.
However, Hadoop itself is only one Big Data framework, and consists of several different flavors. Facebook, which called itself the owner of the world’s largest Hadoop cluster, at 100 petabytes, outgrew its capabilities on Hadoop and is looking into a technology which would allow it to abstract its Hadoop workloads across several geographically dispersed datacenters.
When it comes to analytics projects that require intensive data warehousing, there is no one-size fits all answer for Big Data as the use cases can be extremely varied, ranging from short-term to long-term. Deploying Hadoop clusters requires specialized skills and proper capacity planning. In contrast, Big Data solutions in the cloud such as Amazon RedShift allow users to provision database nodes on demand and in a matter of minutes, without the need to take into account large outlays of infrastructure such as servers, and datacenter space. As a result, cloud-based Big Data can be a viable alternative for short-term analytics projects as well as fulfilling sandbox requirements to test out larger Big Data integration projects. Cloud-based Big Data may also make sense in situations where only a subset of the data is required for analysis as opposed to the entire dataset.
With cloud integration, much of the complexity of connecting to data sources and targets is abstracted away. Consequently, when a cloud-based Big Data deployment is combined with a cloud integration solution, it can result in even more time and cost savings and get the projects off the ground much faster.
We’ll be discussing several use cases around cloud-based Big Data in our webinar on August 22nd, Big Data in the Cloud with Informatica Cloud and Amazon Redshift, with special guests from Amazon on the event.
In a recent Information Management blog post, Alex Bakker from Saugatuck Technology noted:
“There is an underlying problem facing many, if not most enterprise IT leaders and organizations: these technologies [Cloud, Mobile, Social, Analytics and Integration] have developed much faster than enterprise IT groups and practices have been able to adopt and manage them.”
The good news is a topic that was once considered the “Achilles heel of cloud computing” is increasingly being recognized as the key enabler of cloud success: integration and data management. With that in mind, Informatica rolled out our Summer 2013 release this week. Here are some highlights and useful resources. (more…)
On Wednesday we announced our latest cloud integration release – Informatica Cloud Spring 2013. It’s a major step forward in terms of breadth and depth for our software as a service (SaaS) solution. Why, you ask?
- Didn’t all of our cloud integration customers get upgraded to the Winter release in November?
- Didn’t we just broaden into cloud-based master data management (MDM)?
- Don’t we have 3-4 releases per year?
Well, yes…but…there are a few aspects to today’s announcement that I think are particularly noteworthy. Here’s a summary.
This week we got the news that for the fifth year in a row, Informatica Cloud has won the 2012 Salesforce.com AppExchange Customer Choice Award. Informatica Cloud Integration for Salesforce was recognized as the winner in the very crowded IT and Administration category, which includes administration and IT, data cleansing, integration, IT management and other applications.These awards are based on the number and quality of customer reviews on the AppExchange. (more…)
Ok, I know it’s a little late to post 2013 technology predictions, but with so many good ones published already, I figured I’d sandbag a little and not only post a few of my own but also share a few of my favorites so far. For me, it starts with Mary Meeker’s Internet Trends presentation. 2013 is going to be a year of “re-imagining” enterprise software, from social, to mobile, to cloud, to Big Data and Analytics.
For the past few years I’ve been posting my cloud integration predictions. It’s always interesting to look back to see what transpired and evaluate where I scored well and where I was off base. Here’s how I did in 2011: 2011 #Cloud Integration Predictions in Review. My 2012 cloud integration predictions centered around Data as a Service, Master Data Management, Business Intelligence and enterprise IT adoption of all flavors of cloud computing. Before I throw my hat into the 2013 predictions ring, here’s a review of 2012.
Informatica Cloud Winter 2013 has arrived. This is the fourteenth release of the company’s award-winning family of cloud integration applications and integration platform as a service (iPaaS), which has now expanded to include Informatica Cloud Master Data Management (MDM). In this post I’ll provide an overview of the new cloud integration and cloud data quality capabilities. Be sure to register for a 30 day trial and/or attend the release webinar on Thursday to see Informatica Cloud in action.