Category Archives: Cloud Computing
Informatica Cloud Summer ’14 Release Breaks Down Barriers with Unified Data Integration and Application Integration for Real Time and Bulk Patterns
This past week, Informatica Cloud marked an important milestone with the Summer 2014 release of the Informatica Cloud platform. This was the 20th Cloud release, and I am extremely proud of what our team has accomplished.
“SDL’s vision is to help our customers use data insights to create meaningful experiences, regardless of where or how the engagement occurs. It’s multilingual, multichannel and on a global scale. Being able to deliver the right information at the right time to the right customer with Informatica Cloud Summer 2014 is critical to our business and will continue to set us apart from our competition.”
– Paul Harris, Global Business Applications Director, SDL Pic
When I joined Informatica Cloud, I knew that it had the broadest cloud integration portfolio in the marketplace: leading data integration and analytic capabilities for bulk integration, comprehensive cloud master data management and test data management, and over a hundred connectors for cloud apps, enterprise systems and legacy data sources.. all delivered in a self-service design with point-and-click wizards for citizen integrators, without the need for complex and costly manual custom coding.
But, I also learned that our broad portfolio belies another structural advantage: because of Informatica Cloud’s unique, unified platform architecture, it has the ability to surface application (or real time) integration capabilities alongside its data integration capabilities with shared metadata across real time and batch workflows.
With the Summer 2014 release, we’ve brought our application integration capabilities to the forefront. We now provide the most-complete cloud app integration capability in the marketplace. With a design environment that’s meant not for just developers but also line of business IT, now app admins can also build real time process workflows that cut across on-premise and cloud and include built-in human workflows. And with the capability to translate these process workflows instantly into mobile apps for iPhone and Android mobile devices, we’re not just setting ourselves apart but also giving customers the unique capabilities they need for their increasingly mobile employees.
“Schneider’s strategic initiative to improve front-office performance relied on recording and measuring sales person engagement in real time on any mobile device or desktop. The enhanced real time cloud application integration features of Informatica Cloud Summer 2014 makes it all possible and was key to the success of a highly visible and transformative initiative.”
– Mark Nardella, Global Sales Process Director, Schneider Electric SE
With this release, we’re also giving customers the ability to create workflows around data sharing that mix and match batch and real time integration patterns. This is really important. Because unlike the past, where you had to choose between batch and real time, in today’s world of on-premise, cloud-based, transactional and social data, you’re now more than ever having to deal with both real time interactions and the processing of large volumes of data. For example, let’s surmise a typical scenario these days at high-end retail stores. Using a clienteling iPad app, the sales rep looks up bulk purchase history and inventory availability data in SAP, confirms availability and delivery date, and then processes the customer’s order via real time integration with NetSuite. And if you ask any customer, having a single workflow to unify all of that for instant and actionable insights is a huge advantage.
“Our industry demands absolute efficiency, speed and trust when dealing with financial information, and the new cloud application integration feature in the latest release of Informatica Cloud will help us service our customers more effectively by delivering the data they require in a timely fashion. Keeping call-times to a minimum and improving customer satisfaction in real time.”
– Kimberly Jansen, Director CRM, Misys PLC
We’ve also included some exciting new Vibe Integration packages or VIPs. VIPs deliver pre-built business process mappings between front-office and back-office applications. The Summer 2014 release includes new bidirectional VIPs for Siebel to Salesforce and SAP to Salesforce that make it easier for customers to connect their Salesforce with these mission-critical business applications.
And lastly, but not least importantly, the release includes a critical upgrade to our API Framework that provides the Informatica Cloud iPaaS end-to-end support for connectivity to any company’s internal or external APIs. With the newly available API creation, definition and consumption patterns, developers or citizen integrators can now easily expose integrations as APIs and users can consume them via integration workflows or apps, without the need for any additional custom code.
The features and capabilities released this summer are available to all existing Informatica Cloud customers, and everyone else through our free 30-day trial offer.
Since the survey was published, many enterprises have, indeed, leveraged the cloud to host business data in both IaaS and SaaS incarnations. Overall, there seems to be two types of enterprises: First are the enterprises that get the value of data integration. They leverage the value of cloud-based systems, and do not create additional data silos. Second are the enterprises that build cloud-based data silos without a sound data integration strategy, and thus take a few steps backward, in terms of effectively leveraging enterprise data.
There are facts about data integration that most in enterprise IT don’t yet understand, and the use of cloud-based resources actually makes things worse. The shame of it all is that, with a bit of work and some investment, the value should come back to the enterprises 10 to 20 times over. Let’s consider the facts.
Fact 1: Implement new systems, such as those being stood up on public cloud platforms, and any data integration investment comes back 10 to 20 fold. The focus is typically too much on cost and not enough on the benefit, when building a data integration strategy and investing in data integration technology.
Many in enterprise IT point out that their problem domain is unique, and thus their circumstances need special consideration. While I always perform domain-specific calculations, the patterns of value typically remain the same. You should determine the metrics that are right for your enterprise, but the positive values will be fairly consistent, with some varying degrees.
Fact 2: It’s not just about data moving from place-to-place, it’s also about the proper management of data. This includes a central understanding of data semantics (metadata), and a place to manage a “single version of the truth” when it comes to dealing massive amounts of distributed data that enterprises must typically manage, and now they are also distributed within public clouds.
Most of those who manage enterprise data, cloud or no-cloud, have no common mechanism to deal with the meaning of the data, or even the physical location of the data. While data integration is about moving data from place to place to support core business processes, it should come with a way to manage the data as well. This means understanding, protecting, governing, and leveraging the enterprise data, both locally and within public cloud providers.
Fact 3: Some data belongs on clouds, and some data belongs in the enterprise. Those in enterprise IT have either pushed back on cloud computing, stating that data outside the firewall is a bad idea due to security, performance, legal issues…you name it. Others try to move all data to the cloud. The point of value is somewhere in between.
The fact of the matter is that the public cloud is not the right fit for all data. Enterprise IT must carefully consider the tradeoff between cloud-based and in-house, including performance, security, compliance, etc.. Finding the best location for the data is the same problem we’ve dealt with for years. Now we have cloud computing as an option. Work from your requirements to the target platform, and you’ll find what I’ve found: Cloud is a fit some of the time, but not all of the time.
In the journey from a single-purpose cloud CRM app to the behemoth that it is today, Salesforce has made many smart acquisitions. However, the recent purchase of RelateIQ may have just been its most ingenious. Although a relatively small startup, RelateIQ has gained a big reputation for its innovative use of data science and predictive analytics, which would be highly beneficial to Salesforce customers.
As relevant from the acquisition, there is little doubt that the cloud application world is making a tectonic shift to data science and the appetite for Big Data to be pieced together to fuel the highly desired 360-degree view is only growing stronger.
But while looking ahead is certainly important, those of us who live in the present have much work yet still to accomplish in the here and now. For many, that means figuring out the best way to leverage data integration strategies and the Salesforce platform to gain actionable intelligence for our sales, marketing and CRM projects – today. Up until recently, this has involved manual, IT-heavy processes.
We need look no further than three common use cases where typical data integration strategies and technologies fail today’s business users:
Automated Metadata Discovery
The first, and perhaps most frustrating, has to do with discovering related objects. For example, objects, such as Accounts, don’t exist in a vacuum. They have related objects such as Contacts that can provide the business user – be it a salesperson or customer service manager, with context of the customer.
Now, during the typical data-integration process, these related objects are obscured from view because most integration technologies in the market today cannot automatically recognize the object metadata that could potentially relate all of the customer data together. The result is an incomplete view of the customer in Salesforce, and a lost opportunity to leverage the platform’s capability to strengthen a relationship or close a deal.
The Informatica Cloud platform is engineered ground up to be aware of the application ecosystem API and understand its metadata. As a result, our mapping engine can automatically discover metadata and relate objects to one another. This automated metadata discovery gives business users the ability to discover, choose and bring all of the related objects together into one mapping flow. Now, with a just a few clicks, business users, can quickly piece together relevant information in Salesforce and take the appropriate action.
Bulk Preparation of Data
The second instance where most data integration solutions typically fall short is with respect to the bulk preparation of data for analytic runs prior to the data transformation process. With the majority of Line-of-Business (LOB) applications now being run in the cloud, the typical business user has multiple terabytes of cloud data that either need to be warehoused on-premise or in the cloud, for a BI app to perform its analytics.
As a result, the best practice for bringing in data for analytics requires the ability to select and aggregate multiple data records from multiple data sources into a single batch, to speed up transformation and loading and – ultimately – intelligence gathering. Unfortunately, advanced transformations such as aggregations are something that is simply beyond the capabilities of most other integration technologies. Instead, most bring the data in one record or message at time, inhibiting speedy data loading and delivery of critical intelligence to business users when they need it most.
Alternatively, Informatica has leveraged its intellectual property in the market-leading data integration product, PowerCenter, and developed data aggregation transformation functionality within Informatica Cloud. This enables business users to pick a select group of important data points from multiple data sources – for example, country or dollar size of revenue opportunities – to aggregate and quickly process huge volumes in a single batch.
In-App Business Accelerators
Similar to what we’ve experienced with the mobile iOS and Android platforms, there recently has been an explosion of new, single-purpose business applications being developed and released for the cloud. While the platform-specific mobile model is predicated on and has flourished because of the “build it and they will come” premise, the paradigm does not work in the same way for cloud-based applications that are trying to become a platform.
The reason for this is that, unlike with iOS and Android platforms, in the cloud world, business users have a main LOB application that they are familiar with and rely on packaged integrations to bring in from other LOB cloud applications. However, with Salesforce extending its reach to become a cloud platform, the center of data gravity is shifting towards it being used for more than just CRM and the success of this depends upon these packaged integrations. Up until now, these integrations have just consisted of sample code and have been incredibly complex (and IT-heavy) to build and very cumbersome to use. As a result, business users lack the agility to easily customize fields or their workflows to match their unique business processes. Ultimately, the packages that were intended to accelerate business ended up inhibiting it.
Informatica Cloud’s Vibe Integration Packages (or VIPs) have made the promise of the integration package as a business accelerator into a reality, for all business users. Unlike sample code, VIPs are sophisticated templates that encapsulate the intelligence or logic of how you integrate the data between apps. While VIPs abstract complexity to give users out-of-the box integration, their pre-built mapping also provides great flexibility. Now, with just a few keystrokes, business users can map custom fields or leverage their unique business model into their Salesforce workflows.
A few paragraphs back I began this discussion with the recent acquisition of RelateIQ by Salesforce. While we can make an educated guess as to what that will bring in the future, no one knows for sure. What we do know is that, at present, Salesforce’s completeness as a platform – and source of meaningful analytics – requires something in addition to run your relevant business applications and solutions through it. A complete iPaaS (Integration Platform as a Service) solution such as Informatica Cloud has the power to make the vision into reality. Informatica enables this through the meta-data rich platform for data discovery, Industry leading data and application integration capabilities and business accelerators that put the power back in the hands of citizen application integrators and business users.
Join our webinar August 14 to learn more: Informatica Cloud Summer 2014: The Most Complete iPaaS
Now in its third year (2012, 2013), The State of Salesforce Annual Review continues to be the most comprehensive report on the Salesforce ecosystem. Based on the data from over 1,000 global Salesforce users, this report highlights how companies are using the Salesforce platform, where resources are being allocated, and where industry hype meets reality. Over the past three years, the report has evolved much like the technology, shifting and transforming to address recent advancements, and well as tracking longitudinal trends in the space.
We’ve found that key integration partners like Informatica Cloud continue to grow in importance within the Salesforce ecosystem. Beyond the core platform offerings from Salesforce, third-party apps and integration technologies have received considerable attention as companies look to extend the value of their initial investments and unite systems. The need to sync multiple platforms and applications is an emerging need in the Salesforce ecosystem—which will be highlighted in the 2014 report.
As Salesforce usage expands, so does our approach to survey execution. In line with this evolution, here’s what we’ve learned over the last three years from data collection:
Functions, Departments Make a Difference
Sales, Marketing, IT, and Service all have their own needs and pain points. As Salesforce moves quickly across the enterprise, we want to recognize the values, priorities, and investments by each department. Not only are the primary clouds for each function at different stages of maturity, but the ways in which each department uses their cloud are unique. We anticipate discovery of how enterprises are collaborating across functions and clouds.
Focus on Region
As our international data set continues to grow we are investing in regionalized reports for the US, UK, France, and Australia. While we saw indications of differences between each region in last year’s survey, they were not statistically significant.
Customer Engagement is a Top Priority
Everyone agrees that customer engagement is important, but what are companies actually doing about it? A section on predictive analytics and questions about engagement specific to departments has been included in this year’s survey. We suspect that the recent trend of companies empowering employees with a combination of data and mobile will be validated in the survey results.
Variation Across Industries
As an added bonus, we will build a report targeting specific insights from the Financial Services industry.
We Need Your Help
Our dataset depends on input from Salesforce users spanning all functions, roles, industries, and regions. Every response matters. Please take 15 minutes to share your Salesforce experiences, and you will receive a personalized report, comparing your responses to the aggregate survey results.
SOA was born out of purposeful intent, to solve a specific problem in a particularly novel way: standards-based and interoperable service-based integration driven by the WS-* standardization efforts. It foreshadowed the fragmentation of the monolithic on-premise software providers and pre-dated the rise of a new cloud-centric world – and it arguably arrived too fast for many organizations to take advantage of it on-premise. The constant churn of WS-* specifications didn’t help the cause either.
Some IT shops got bogged down in religious arguments over WS-* vs. REST while others pushed on, bolting on service interfaces to existing application stacks and protocols and building new service infrastructure as an investment for the future. The result, as we all know, was a lot of hype and dashed expectations for some.
Fast forward five years, and the future foreshadowed by SOA is almost a reality. And while SOA (the acronym) may be dead, the need for a service-oriented architecture is very much alive.
We now live in a hybrid world, populated by cloud, social and on-premise applications, and the move to the cloud for business is a fait accompli — or at the least, inevitable. Cloud initiatives are fueling a new type of service-oriented integration – one where, unlike in the past, the approach is no longer strictly defined by protocols but rather by application services and event-based integration.
In this new world, IT no longer controls the architecture of the apps its business users use (or where they execute), and so consumers and providers – cloud apps, on-premise apps and systems – need to interact in loosely-coupled service-oriented ways. This evolution forces new integration realities that had for many been hidden from sight and kept within the domain of application owners.
Eight or nine years ago, when SOA fever was at its height, everyone was running around trying to transform their internal systems and build new and complex infrastructure to meet an incomplete technological imperative.
Today, the landscape has completely changed. The need for ESBs and tightly coupled integrations that expose the innards of your infrastructure no longer apply. Eventually, as applications move to the Cloud, there will no longer be much infrastructure left to expose. Instead, the integrations are and will increasingly be occurring in the cloud, over an open framework, through high-level service-centric APIs.
At Informatica, we’ve taken the lessons and imperatives of SOA – simplicity, data consistency and accessibility and security – and incorporated it into a platform that makes the promise of service-oriented, hybrid, event-driven integration a reality.
We’ve innovated, and now deliver tooling that both enables technically savvy application owners to implement integrations themselves and IT to assist. And we’ve also made it possible for application owners to consume data and business services and processes in an intuitive user interface that abstracts the underlying details of our hybrid integration platform.
The result is an integration platform that empowers application owners. This is what makes what we’re currently doing at Informatica Cloud so particularly exciting, and potentially disruptive.
As Informatica Cloud product managers, we spend a lot of our time thinking about things like relational databases. Recently, we’ve been considering their limitations, and, specifically, how difficult and expensive it is to provision an on-premise data warehouse to handle the petabytes of fluid data generated by cloud applications and social media. As a result, companies have to often make tradeoffs and decide which data is worth putting into their data warehouse.
Certainly, relational databases have enormous value. They’ve been around for several decades and have served as a bulwark for storing and analyzing structured data. Without them, we wouldn’t be able to extract and store data from on-premise CRM, ERP and HR applications and push it downstream for BI applications to consume.
With the advent of cloud applications and social media however, we are now faced with managing a daily barrage of massive amounts of rapidly changing data, as well as the complexities of analyzing it within the same context as data from on-premise applications. Add to that the stream of data coming from Big Data sources such as Hadoop which then needs to be organized into a structured format so that various correlation analyses can be run by BI applications – and you can begin to understand the enormity of the problem.
Up until now, the only solution has been to throw development resources at legacy on-premise databases, and hope for the best. But given the cost and complexity, this is clearly not a sustainable long-term strategy.
As an alternative, Amazon Redshift, a petabyte-scale data warehouse service in the cloud has the right combination of performance and capabilities to handle the demands of social media and cloud app data, without the additional complexity or expense. Its Massively Parallel Processing (MPP) architecture allows for the lightning fast loading and querying of data. It also features a larger block size, which reduces the number of I/O requests needed to load data, and leads to better performance.
By combining Informatica Cloud with Amazon Redshift’s parallel loading architecture, you can make use of push-down optimization algorithms, which process data transformations in the most optimal source or target database engines. Informatica Cloud also offers native connectivity to cloud and social media apps, such as Salesforce, NetSuite, Workday, LinkedIn, and Twitter, to name a few, which makes it easy to funnel data from these apps into your Amazon Redshift cluster at faster speeds.
If you’re at the Amazon Web Services Summit today in New York City, then you heard our announcement that Informatica Cloud is offering a free 60-day trial for Amazon Redshift with no limitations on the number of rows, jobs, application endpoints, or scheduling. If you’d like to learn more, please visit our Redshift Trial page or go directly to the trial.
Managing the recovery and flow of data files throughout your enterprise is much like managing the flow of oil from well to refinery – a wide range of tasks must be carefully completed to ensure optimal resource recovery. If these tasks are not handled properly, or are not addressed in the correct order, valuable resources may be lost. When the process involves multiple pipelines, systems, and variables, managing the flow of data can be difficult.
Organizations have many options to automate the processes of gathering data, transferring files, and executing key IT jobs. These options include home-built scheduling solutions, system integrated schedulers, and enterprise schedulers. Enterprise schedulers, such as Skybot Scheduler, often offer the most control over the organization’s workflow, as they offer the ability to create schedules connecting various applications, systems, and platforms.
In this way, the enterprise scheduler facilitates the transfer of data into and out of Informatica PowerCenter and Informatica Cloud, and ensures that raw materials are refined into valuable resources.
Enterprise Scheduling Automates Your Workflow
Think of an enterprise scheduler as the pipeline bearing data from its source to the refinery. Rather than allowing jobs or processes to execute randomly or to sit idle, the enterprise scheduler automates your organization’s workflow, ensuring that tasks are executed under the appropriate conditions without the need for manual monitoring or the risk of data loss.
Skybot Scheduler addresses the most common pain points associated with data recovery, including:
- Scheduling dependencies: In order for PowerCenter or Cloud to complete the data gathering processes, other dependencies must be addressed. Information must be swept and updated, and files may need to be reformatted. Skybot Scheduler automates these tasks, keeping the data recovery process consistently moving forward.
- Reacting to key events: As with oil recovery, small details can derail the successful mining of data. Key events, such as directory changes, file arrivals, and evaluation requirements can lead to a clog in the pipeline. Skybot Scheduler maintains the flow of data by recognizing these key events and reacting to them automatically.
Choose the Best Pipeline Available
Skybot Scheduler is one of the most powerful enterprise scheduling solutions available today, and is the only enterprise scheduler integrated with PowerCenter and Cloud.
Capable of creating comprehensive cross-platform automation schedules, Skybot Scheduler manages the many steps in the process of extracting, transforming, and loading data. Skybot maintains the flow of data by recognizing directory changes and other key events, and reacting to them automatically.
In short, by managing your workflow, Skybot Scheduler increases the efficiency of ETL processes and reduces the potential of a costly error.
To learn more about the power of enterprise scheduling and the Skybot Scheduler check out this webinar: Improving Informatica ETL Processing with Enterprise Job Scheduling or download the Free Trial.
I know it’s far too soon to be thinking of Christmas, but May is the most wonderful time of the year. That’s because it’s Informatica World week and I get the chance to experience the same tingle of anticipation watching the keynotes as I do on Christmas morning just before the big reveal. “You definitely live a sheltered life!” I hear you cry, but it’s true. In years past, Informatica World has proven to be the zenith of events in our cloud calendar, and this year so far, has not disappointed.
We began on Monday, or “Cloud Day“, with two banner events. The morning kicked off with the convening of the “Informatica Cloud Product Advisory Council,” hosted by the cloud product team. This exclusive event consisted of a select group of customers who volunteered their time to speak at “Cloud Day.”
Monday afternoon’s session was open to all Informatica World attendees and proved to be a great networking opportunity as industry peers, cloud integration experts and practitioners all mingled. But it didn’t stop there. There were also keynotes delivered by the industry experts on topics such as cloud security and Analytics and Salesforce integration. If you missed cloud day, take a look at Ashwin Viswanth’s entertaining recap here.
The cloud momentum continued on Tuesday with some fabulous breakout sessions. In particular Conde Nast and Informatica held a session that discussed strategies in moving to a hybrid IT architecture. Informatica product management delivered a well-attended “Informatica Cloud 101” session. The day ended with Qualcomm and Inside Track hosting a lively discussion that explained how they use Informatica Cloud to manage data synchronization between Salesforce and other applications.
Wednesday was the day that kept on giving. It was packed full of sessions on the cloud path and highlighted the breadth of the solution. It started with a fantastic case study from the Weather Channel (yes THAT weather channel). They explained what “cloud first” means to them, and in particular how they built a cloud data warehouse with Informatica Cloud that runs on Amazon’s Redshift.
Next came a road map session from the Informatica Cloud Product Management team. This session gave a look at what’s next for the world’s leading cloud data management platform. It focused on the new web-based process designer that will enable integration developers to build real-time process integrations. Next, ConocoPhillips held a session called “Journey to the Internet of Things with PowerCenter and Informatica Cloud”. Conoco Phillips explained how they use PowerCenter and Informatica Cloud to aggregate data from sensor-bearing oil wells across Alaska and Calgary!
Wednesday’s packed Cloud agenda came to a close with a session from Schneider-Electric and Corvisa Cloud who talked about how they use Informatica Cloud Real Time to improve the operational efficiency of their Salesforce.com implementations by leveraging real-time data.
“Phew! That’s a lot of Cloud expertise in one day”, you say. And I would totally agree. That’s goes to show that I wasn’t lying when I said that I’m excited to hear about all things cloud this week. And I’ve only got to Wednesday. For those of you keeping track, there’s still ANOTHER conference day left.
Today, Thursday, plays host to the last two cloud sessions. If your business relies on embedding data into your own applications, then you might want to check out “How Embedded iPaaS Can Transform Your Business”. This session is delivered by RMS who are the vendors of a financial trading application. They will explain how they create seamless and secure connections between its cloud-based suite of financial applications and its clients’ on-premise data sources by embedding Informatica Cloud. They will also discuss in detail how they interface with Informatica Cloud’s REST API’s.
The RMS session should provide enough technical meat for anyone, but if not then you should make your way to the last Informatica session of Informatica World 2014 (let’s all give a collective sigh that they week is almost over. AAAAWWWWWWHHHHHH). The honor of presenting the last session goes to the Informatica Cloud product management team. It’s seems as if we’ve come full circle.
The final session is called “Developing Advanced Integrations in the Cloud” and will show how the new cloud designer helps you aggregate and merge multiple data sources, use Vibe Integration Packages, and connect cloud applications to on-premises applications like Oracle EBS and SAP. The Cloud PM team always does fantastic demos, so this session will be worth missing your flight.
Phew, what a week! Hopefully by now you’ve realized why I think May is the “Most Wonderful Time of the Year”. All sign along now… “It’s the most wonderful time of the year. The cloud team is going and everyone’s knowing it’s nearly here… In-form-atica-World. Is nearly here!”
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.