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Perficient Listed as Insights Service Provider by Independent Research Firm

Accessing data insights in a timely manner can be challenging for many organizations. Engaging an insights service provider can help you keep up with quickly evolving technologies and tools. These providers are able to offer end-to-end engagements that connect the dots between data, insights, and execution and accelerate time-to-value. This is an area in which […]

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Insights from Informatica World 2017

As mentioned last week, Perficient was a proud sponsor of this year’s Informatica World conference. We met with many Informatica customers and companies evaluating the suite of products. The event was also a great opportunity to hear from other thought leaders in the areas of Big Data, MDM, and cloud. It was clear from Informatica […]

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3 Data Management Best Practices for Salesforce Administrators

The Force.com platform is remarkable in its ability to scale as your business grows, but all systems have constraints.  Even if you don’t think you are ever going to run into some of those limits, designing and managing your data with some of those ideas in mind will help you, and make the whole platform […]

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5 Themes from Gartner Summit and World Economic Forum

At the recent World Economic Forum (WEF) and Gartner Data & Analytics Summit, a few themes were resounding and common between the two large conferences. These themes all centered on driving innovation across the world with new data and analytics solutions, enabling “responsive and responsible leadership”. WEF was clear that over the coming years, jobs […]

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Informatica Data Quality – Another Peek!

In my last blog, I presented a brief overview on Informatica Data Quality (IDQ) tools, the significance of Data Profiling and how to use the Analyst tool to profile data. In this second blog, I will introduce a few commonly used Informatica Developer tool Data Transformations. But, Why Data Transformations? Long story short, Data Quality […]

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6 Disruptions in the World of Data – Day 2 Informatica World 2016

Day 2 at Informatica World has been equally as informative and exciting as day 1. The day started with Amit Wahlia (Chief Product Officer) discussing the 6 data disruptions leading to innovations that Informatica is watching – including mobile, social media, big data, IoT, security, and cloud. A cool example of data-driven disruption was Amazon […]

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Reasons for chronic Data Quality issues…

Many companies have invested millions in building a successful BI / EDW and are investing in advanced analytics for the future. But the mystery remains about the data quality. Though glaring DQ issues might be contained through constant backend data corrections or through exception handling, many organizations still faces the challenge of poor data quality. The reason Data […]

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Sales Intelligence impact on bottom-line…

In my earlier blog, Salesforce and Predictive Analytics, I was making a point why Salesforce has taken a keen interest in predictive analytics software.  Salesforce has turned the market inside out by taking the complexities of IT and infrastructure delays, and not to mention out-of-the-box implementation features, easy enough for small companies to implement with minimal budget and external help. […]

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Salesforce and Customer Master

Salesforce is a boon for companies which can’t take a number and wait for IT to prioritize the implementation. However if adequate data architecture planning is not done, it can end up as a siloed application with Data Quality issues. Many companies don’t have the time to engage the Enterprise team for CRM implementation besides […]

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Data Quality – Don’t Fix It If It Ain’t Broke

What is broke?  If I drive a pickup truck around that has a small, unobtrusive crack in the windshield and a few dings in the paint, it will still pull a boat and haul a bunch of lumber from Home Depot. Is the pickup broke if it still meets my needs? So, when is data […]

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Information Governance Trends for 2015

The year 2014 just ended. 2015 is already looking like another year of data intensive initiatives.  Looking at the initiatives and investments happened in 2014, Big Data will continue to be on the top, and so does the cloud. Enterprise Data investment continues to grow as the laggards in technology are warming up to the Information […]

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Reference Architecture – Cloud MDM for Salesforce

In my earlier post Why MDM should be part of CRM Strategy I discussed the importance of having a MDM strategy along with the CRM initiative. Proliferation of cloud CRM solutions like Salesforce is a blessing and it can also be an IT nightmare, if it is not managed properly.  In many companies Salesforce implementation […]

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Cloud MDM – Reference Architecture for Public Cloud Platform

Moving the MDM deployment to a cloud platform involves several considerations ranging from technical gotchas to getting the internal buy-in. Getting the buy-in is a different topic of discussion – see my earlier posts on Data Governance. The advantages of moving to cloud eliminates some of the administrative and server farms related maintenance tasks but […]

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Cloud MDM – are we getting closer?

As Master Data Management matures and becomes a standard application within the enterprise architecture landscape, variations of cloud offerings are slowly emerging. Many companies are not even aware of these solution offerings. You can broadly classify the types of cloud offerings into 3 categories. There are key advantages and disadvantages in pursuing these architectures. The […]

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Key strategies for Data Quality

In numerous client engagements, we have witnessed that Data Quality (DQ) is a never-ending battle. At many companies,  IT fixes and re-fixes the data rather than develop solutions and manage applications. DQ is not confined to IT, but maintaining that quality requires effort from all data users, especially those at the business end. Building a […]

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Bootstrapping Data Governance – Part II

As I mentioned in my earlier post, building the vision for Data Governance happens through multiple meetings, interactions and discussions at various levels. Depending on the company culture and type of industry, progress may end up being faster or slower. Leadership in building the awareness and linking the business issues which can be solved through […]

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Bootstrapping Data Governance – Part I

A lot has been said and written about Data Governance (DG) and the importance of having one. However it is still a mystery for many companies to create an effective DG. Based on our experience majority of the companies in their early stages of DG fall into one of these areas: Had too many false […]

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Master Data – Why is it different from CRM?

Lot of people confuse the Master Data Management with CRM. Gartner defines the ‘Three Rings of Information Governance’ where and what type of data is captured and how it relates to the core enterprise data (Master Data). Master Data is the common set of definitions agreed across the Enterprise. According to Gartner, The inner ring […]

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Three Big Data Business Case Mistakes

Tomorrow I will be giving a webinar on creating business cases for Big Data. One of the reasons for the webinar was that there is very little information available on creating a Big Data business cases. Most of what is available boils down to a “trust me, Big Data will be of value.” Most information […]

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It’s all about the data, the data…

When Apple jumped into the payment processing with ApplePay, I thought this would be a great leg up for Apple. But who will be the winner and who will be the loser? Granted the payment switches from the credit card to ApplePay which indirectly pays for the purchase, who cares as long as we can […]

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