Tag Archives: iPaaS

Bulletproof Tips to Optimize Data Transformations for Salesforce

Optimize Data Transformations for Salesforce

Optimize Data Transformations for Salesforce

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

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Posted in Cloud, Cloud Application Integration, Cloud Computing, Cloud Data Integration, Uncategorized | Tagged , , , , , | Leave a comment

Announcing Informatica Cloud Spring 2013

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?

Well, yes…but…there are a few aspects to today’s announcement that I think are particularly noteworthy. Here’s a summary.

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Posted in Application ILM, Cloud Computing, Data masking, Data Quality, Master Data Management, Mergers and Acquisitions, News & Announcements, PaaS, SaaS | Tagged , , , , , | Leave a comment

Salesforce.com Recognizes Informatica for Cloud Data Integration

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…)

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Posted in Business Impact / Benefits, Cloud Computing, Customers, Data Quality, Data Synchronization, Marketplace, News & Announcements, PaaS, SaaS | Tagged , , , , , , | Leave a comment

2013 Cloud Data Management Predictions

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.

I summarized my 2012 predictions in an earlier post and Informatica already posted some great predictions from the world of data. Here are my 2013 cloud data management predictions. (more…)

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Posted in Business/IT Collaboration, CIO, Cloud Computing, Enterprise Data Management, Integration Competency Centers, Master Data Management, PaaS, SaaS | Tagged , , , , , , , , , | 1 Comment

Cloud Integration Predictions – The Year in Review

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.

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Posted in CIO, Cloud Computing, Master Data Management, PaaS, SaaS | Tagged , , , , , , , , , , | 4 Comments

Informatica Advances Cloud Integration and Data Quality

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.

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Posted in Cloud Computing, Data Integration, Data Migration, Data Quality, Data Synchronization, Enterprise Data Management, Marketplace, Master Data Management, News & Announcements, PaaS, SaaS | Tagged , , , , , , , , , , , , | Leave a comment

How Integration Platform-as-a-Service Impacts Cloud Adoption

Did you know that Forrester estimates in their 10 Cloud Predictions For 2012 blog post that on average organizations will be running more than 10 different cloud applications and that the public Software-as-a-Service (SaaS) market will hit $33 billion by the end of 2012?

However, in the same post, Forrester also acknowledged that SaaS adoption is led mainly by Customer Relationship Management (CRM), procurement, collaboration, and Human Capital Management (HCM) software and that all other software segments will “still have significantly lower SaaS adoption rates”. It’s not hard to see this in the market today, with cloud juggernaut salesforce.com leading the way in CRM, and Workday and SuccessFactors doing battle in HCM, for example. Forrester claims that amongst the lesser known software segments, Product Lifecycle Management (PLM), Business Intelligence (BI), and Supply Chain Management (SCM) will be the categories to break through as far as SaaS adoption is concerned, with approximately 25% of companies using these solutions by 2012. (more…)

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Posted in Cloud Computing, Data Integration, PaaS, SaaS | Tagged , , , , , , , , , , , , | 1 Comment

Informatica Cloud Summer 2012 Release Advances Integration PaaS

Informatica Cloud integration platform as a serviceToday we announced Informatica Cloud Summer 2012, the latest release of our cloud integration applications and integration platform as a service. With this release our continued focus is on building out the cloud platform, which is ideally suited for hybrid IT organizations seeking to keep up with the rapid pace of software-as-a-service (SaaS) application adoption, while ensuring the highest possible return on data – whether it’s cloud-based, social, mobile or on premises. This week and next we’ll be posting a series of articles that will focus on the growing recognition of the importance of data integration to cloud computing success as well as highlighting a few of the new features that will be available to all Informatica Cloud customers with the August upgrade. But to get started, here’s a brief overview of what’s new.  (more…)

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Posted in Cloud Computing, Data Integration Platform, Data Synchronization, PaaS, SaaS | Tagged , , , , , , , , , , | Leave a comment

A Cloud Connector for Google’s Big Data Analytics

Today Informatica announced that we have joined Google’s Cloud Platform Partner Program, with the introduction of a true cloud-based connector for Google BigQuery. Taking advantage of the power of social media, Google made the announcement through their Developer Blog, noting that the new members of their partner program will, “make it much easier to automatically load data from a broad set of sources, as well as to analyze and visualize the data with spectacular dashboards. (more…)

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Posted in Cloud Computing, Data Integration, Data Synchronization, Data Warehousing, PaaS, SaaS | Tagged , , , , , , , , , | Leave a comment

Introducing Informatica Cloud’s Integration Platform as a Service

In 2006, Informatica announced a strategic roadmap for cloud data integration, which outlined three phases:

  1. Cloud Connectivity
  2. Cloud Integration Services
  3. Cloud Integration Platform

This week we announced Informatica Cloud Spring 2012, which is primarily focused on phase three – evolving to an integration platform as a service. (more…)

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Posted in Business/IT Collaboration, CIO, Cloud Computing, Marketplace, News & Announcements, PaaS, Partners, SaaS | Tagged , , , , , , , , | 1 Comment