Category Archives: Cloud Computing
Informatica Cloud Powers a New Era in Cloud Analytics with Salesforce Wave Analytics Cloud at Dreamforce 2014
We are halfway through Dreamforce and it’s been an eventful and awesome couple of days so far. The biggest launch by far was the announcement of Wave, the Salesforce Analytics Cloud, Salesforce’s new entry into Cloud analytics and business intelligence. Informatica has been the integration leader for enterprise analytics for 20 years, and our leadership continues with Cloud analytics, as our Informatica Cloud portfolio is the only solution that Completes Salesforce Analytics Cloud for Big Data, fully enabling companies to use Salesforce Analytics Cloud to understand their customers like never before. But don’t take our word for it, view the Analytics Cloud Keynote from Dreamforce 2014, and see Alex Dayon uniquely call out Informatica as their key integration partner during his keynote.
The Informatica Cloud Portfolio delivers a broad set of analytics-centric services for the Salesforce Analytics Cloud, including bulk and real time application integration, data integration, data preparation, test data management, data quality and master data management (MDM) services. The portfolio is designed for high volume data sets from transactional applications such as SAP, cloud applications like Workday and new data sources such as Hadoop, Microsoft Azure and Amazon Web Services.
We have a great booth in the Analytics Zone, Moscone West, 3rd floor, where you can see demos of Informatica Cloud for Salesforce Wave Analytics and get lots more details from product experts.
And, you don’t need to wait till Dreamforce is over to try out Informatica Cloud for Salesforce Analytics. The free trial of Informatica Cloud, including Springbok, for Salesforce Analytics Cloud is available now. Trial users have unlimited usage of Informatica Cloud capabilities for Salesforce Analytics Cloud for 60 days, free of charge.
Aside from new product launches, and tons of partner activities going on, we’ve also got some great customers speaking at DF. Today, we have a great session on “Get Closer to Your Customers Using Agile Data Management with Salesforce” with executive speakers from BT, Dolby and Travel Corporation explaining how they achieve customer insight with use cases ranging from integrating 9 Salesforce orgs into a single business dashboard to unifying 30+ acquired travel brands into a single customer view.
On Monday, we had Qualcomm and Warranty Group present how their companies have moved to the Cloud using Salesforce and Informatica Cloud to meet the agility needs of their businesses while simultaneously resolving the challenges of data scaling, organization complexity and evolving technology strategy to make it all happen.
Drop by our main booth in Moscone North, N1216 to see live demos showcasing solutions for Customer Centricity, Salesforce Data Lifecycle and Analytics Cloud. If you want a preview of our Informatica Cloud solutions for the Salesforce ecosystem, click here.
During Dreamforce, we also announced a significant milestone for Informatica Cloud, which now processes over 100 Billion transactions per month, on behalf of our 3,000+ joint customers with Salesforce.
Oh, and one more thing we announced at DF: the Informatica Cloud Data Wizard, our next-generation data loader for Salesforce, that delivers a beautifully simple user experience, natively inside Salesforce for non-technical business analysts and admins to easily bring external data into Salesforce with a one-touch UI, really!
For more information on how you can connect with Informatica at Dreamforce 2014, get all the details at informaticacloud.com/dreamforce
With Informatica Cloud, we’ve long tracked the growth of the various cloud apps and its adoption in the enterprise. Common business patterns – such as opportunity-to-order, employee onboarding, data migration and business intelligence – that once took place solely on-premises are now being conducted both in the cloud and on-premises.
The fact is that we are well on our way to a world where our business needs are best met by a mix of on-premises and cloud applications. Regardless of what we do or make, we can no longer get away with just on-premises applications – or at least not for long. As we become more reliant on cloud services, such as those offered by Oracle, Salesforce, SAP, NetSuite, Workday, we are embracing the reality of a new hybrid world, and the imperative for simpler integration it demands.
So, as the ground shifts beneath us, moving us toward the hybrid world, we, as business and IT users, are left standing with a choice: Continue to seek solutions in our existing on-premises integration stacks, or go beyond, to find them with the newer and simpler cloud solution. Let us briefly look at five business patterns we’ve been tracking.
One of the first things we’ve noticed with the hybrid environment is the incredible frequency with which data is moved back and forth between the on-premises and cloud environments. We call this the data integration pattern, and it is best represented by getting data, such as price list or inventory from Oracle E-Business into a cloud app so that the actual user of the cloud app can view the most updated information. Here the data (usually master data) is copied toserves a certain purpose. Data Integration also involves the typical needs of data to be transformed before it can be inserted or updated. The understanding of metadata and data models of the involved applications is key to do this effectively and repeatedly.
The second is the application integration pattern, or the real time transaction flow between your on-premises and cloud environment, where you have business processes and services that need to communicate with one another. Here, the data needs to be referenced in real time for a knowledge worker to take action.
The third, data warehousing in the cloud, is an emerging pattern that is gaining importance for both mid- and large-size companies. In this pattern, businesses are moving massive amounts of data in bulk from both on-premises and cloud sources into a cloud data warehouse, such as Amazon Redshift, for BI analysis.
The fourth, the Internet of Things (IOT) pattern, is also emerging and is becoming more important, especially as new technologies and products, such as Nest, enable us to push streaming data (sensor data, web logs, etc.) and combine them with other cloud and on-premises data sources into a cloud data store. Often the data is unstructured and hence it is critical for an integration platform to effectively deal with unstructured data.
The fifth and final pattern, API integration, is gaining prominence in the cloud. Here, an on-premise or cloud application exposes the data or service as an external API that can be consumed directly by applications or by a higher-level composite app in an orchestration.
While there are certainly different approaches to the challenges brought by Hybrid IT, cloud integration is often best-suited to solving them.
First, while the integration problems are more or less similar to the on-premise world, the patterns now overlap between cloud and on-premise. Second, integration responsibility is now picked up at the edge, closer to the users, whom we call “citizen integrators”. Third, time to market and agility demands that any integration platform you work with can live up to your expectations of speed. There are no longer multiyear integration initiatives in the era of the cloud. Finally, the same values that made cloud application adoption attractive (such as time-to-value, manageability, low operational overhead) also apply to cloud integration.
One of the most important forces driving cloud adoption is the need for companies to put more power into hands of the business user. These users often need to access data in other systems and they are quite comfortable going through the motions of doing so without actually being aware that they are performing integration. We call this class of users ‘Citizen Integrators’. For example, if a user uploads an excel file to Salesforce, it’s not something they would call as “integration”. It is an out-of-the-box action that is integrated with their user experience and is simple to use from a tooling point of view and oftentimes native within the application they are working with.
Cloud Integration Convergence is driving many integration use cases. The most common integration – such as employee onboarding – can span multiple integration patterns. It involves data integration, application integration and often data warehousing for business intelligence. If we agree that doing this in the cloud makes sense, the question is whether you need three different integration stacks in the cloud for each integration pattern. And even if you have three different stacks, what if an integration flow involves the comingling of multiple patterns? What we are noticing is a single Cloud Integration platform to address more and more of these use cases and also providing the tooling for both a Citizen Integrator as well as an experienced Integration Developer.
The bottom line is that in the new hybrid world we are seeing a convergence, where the industry is moving towards streamlined and lighter weight solutions that can handle multiple patterns with one platform.
The concept of Cloud Integration Convergence is an important one and we have built its imperatives into our products. With our cloud integration platform, we combine the ability to handle any integration pattern with an easy-to-use interface that empowers citizen integrators, and frees integration developers for more rigorous projects. And because we’re Informatica, we’ve designed it to work in tandem with PowerCenter, which means anything you’ve developed for PowerCenter can be leveraged for Informatica Cloud and vice versa thereby fulfilling Informatica’s promise of Map Once, Deploy Anywhere.
In closing, I invite you to visit us at the Informatica booth at Oracle Open World in booth #3512 in Moscone West. I’ll be there with some of my colleagues, and we would be happy to meet and talk with you about your experiences and challenges with the new Hybrid IT world.
But, as Billy Macinnes, in his July MicroScope article, reminds us, the opportunities come with many challenges, and so far only a few ISVs have risen high enough to truly meet them all. While the article itself is more concerned about where ISVs are headed, Macinnes and the industry experts he references, such as Mike West and Philip Howard, make it clear that no one is going anywhere far without a cloud strategy that meaningfully addresses data integration.
As a business app consumer myself, I too am excited by the possibilities that exist. I am intrigued by the way in which the new applications embrace the user-first ethos and deliver consumer-app-like interfaces and visual experiences. What concerns me is what happens next, once you get beyond the pretty design and actually try to solve the business use case for which the app is intended. This, unfortunately, is where many business apps fail. While most can access data from a single specific application, few can successfully interact with external data coming from multiple sources.
Like many of the challenges (such as licensing and provisioning) faced by today’s ISVs, data integration is something that lies outside of the expertise area of a typical app developer. Let’s say, for example, you’ve just come up with a new way to anticipate customer needs and match it with excess inventory. While the developer expertise and art of the app may be, say, in a new algorithm, the user experience, ultimately, is equally dependent on your ability to surface data – inventory, pricing, SKU numbers, etc. – that may be held in SaaS and on-premises systems and seamlessly marry it – behind the scenes – to cloud-based customer information.
The bottom line is that regardless of the genius behind your idea or user interface, if you can’t feed relevant data into your application and ensure its completeness, quality and security for meaningful consumption, your app will be dead in the water. As a result, app developers are spending an inordinate amount of time – in some cases up to 80% of their development cycle – working through data issues. Even with that, many still get stuck and end up with little more for their effort than a hard lesson in the difficulties of enterprise data integration long understood by every integration developer.
Fortunately, there is a better way: cloud integration.
Cloud integration enables the developer to focus on their app and core business. The ISV can offer cloud integration to its customers as an external resource or as an embedded part of its app. While some may see this as a choice, any ISV looking to provide the best possible user experience has no real option other than to embed the integration services as part of their application.
Look at any successful business app, and chances are you’ll find something that empowers users to work independently, without having to rely on other teams or tools for solutions. Take, for example, the common use case of bringing data into an app via a CSV file. With integration built directly into the app, the user can upload the file and resolve any semantic conflicts herself, with no assistance from IT. Without it, the user is now reliant on others to do his or her job, and ultimately less productive. Clearly, the better experience is the one that provides users with easy access to everything needed – including data from multiple sources – to get the work done themselves. And the most effective way you can do that is by embedding integration into the application.
Now that we’ve settled why cloud integration works best as an embedded capability, let’s take a closer look at how it works within the application context.
With cloud integration embedded into your app, you can essentially work behind the scenes to connect different data sources and incorporate the mapping and workflows between your app and the universe of enterprise data sources. How it accomplishes that is through abstraction. By abstracting connectivity to these data sources, you take the complexities involved with bringing data from an external source – such as SAP or Salesforce – and place it within a well-defined integration template or Vibe Integration Package (VIP). Once these abstractions are defined, you can then, as an application developer, access these templates through REST API and bring the specified data into your application.
While connectivity abstraction and REST APIs are important on their own, like all great pairings, it is only in combination that their true utility is realized. In fact, taken separately, neither is of much value to the application developer. Alone, a REST API can access the raw data type, but without the abstraction, the information is too unintelligible and incomplete to be of any use. And without the REST API, the abstracted data has no way of getting from the source to the application.
The value that REST APIs together with connectivity abstraction bring cannot be overstated, especially when the connectivity can span multiple integration templates. The mechanism for accomplishing integration is, like an automobile transmission, incredibly complex. To give an analogy, just like a car’s shift lever exposes a simple interface to move the gears from Park to Drive, activating a series of complex sensors to make the appropriate motions under the hood, the integration templates allow the user to work with the data in any way they want without ever having to understand or know about the complexities going on underneath.
As the leading cloud integration solution and platform, Informatica Cloud has long recognized the importance of pairing REST APIs and connectivity abstraction.
The first and most important function within our REST API is administration. It enables you to set up your organization and the administration of your users and permissions. The second function allows you to run and monitor integration tasks. And with the third, end users can configure the integration templates themselves, and enforce the business rules to apply for their specific process. You can view the entire set of Informatica Cloud REST API capabilities here.
It is in this last area – integration configurability – where we are truly setting ourselves apart. The Vibe Integration Packages (VIPs) not only abstract backend connectivity but also ensure that the data is complete – with the needed attributes from the underlying apps – and is of high quality and formatted for easy consumption in the end-user application. With the Packages, we’ve put together many of the most common integrations with reusable integration logic that is configurable through a variety of parameters. Our configurable templates enable your app users to customize and fine-tune their integrations – with custom fields, objects, etc. – to meet the specific behavior and functionality of their integrations. For example, the Salesforce to SAP VIP includes all the integration templates you need to solve different business use cases, such as integrating product, order and account information.
With their reusability and groupings encompassing many of the common integration use cases, our Vibe Integration Packages really are revolutionizing work for everyone. Using Informatica Cloud’s Visual Designer, developers can quickly create new, reusable VIPs, with parameterized values, for business users to consume. And SaaS administrators and business analysts can perform complex business integrations in a fraction of the time it took previously, and customize new integrations on the fly, without IT’s help.
More and more, developers are building great-looking apps with even greater aspirations. In many cases, the only thing holding them back is the ability to access back-office data without using external tools and interfaces, or outside assistance. With Informatica Cloud, data integration need no longer take a backseat to design, or anything else. Through our REST API, abstractions and Vibe Integration Packages, we help developers put an end to the compromise on user experience by bringing in the data directly through the application – for the benefit of everyone.
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.