Axtria Blogs

Data and Technology

Why Business Intelligence Projects Fail

p> Business Intelligence (BI) adoption is exploding. As data volumes expand, more and more businesses are adopting BI solutions to turn this data into meaningful information. Small pharma and startups are switching towards BI to improve efficiency and data reach for users. Big pharma companies are utilizing BI for innovation, actionable insights, predictive and prescriptive analytics, and many other things.


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Data Strategy and Governance: A Strategic Enabler of Next Generation Analytics

We always save the best until last, and PMSA 2017 is no exception. On Wednesday 26th April, we will conclude the conference with an insightful presentation from Asheesh Sharma and Vineet Rathi on Data Strategy and Governance: A Strategic Enabler of Next Generation Analytics and Insight Driven Commercial Excellence.

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Deep Dive Into Real World Data

We are excited to announce that Axtria’s Randy Risser and Sudeep Saha will be running a deep-dive workshop on Real World Data at PMSA’s 2017 Winter Symposium. The event takes place from January 12-13 at the Hilton Gaslamp Quarter, San Diego, California. Axtria's workshop starts at 9:45am on Friday. 

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Salesforce Einstein, Star of the Show @ Dreamforce 2016

We’ve had some pretty memorable announcements over the years at Dreamforce, but the launch of Einstein, Salesforce’s Artificial Intelligence (AI) engine, has to be one of the most exciting. Especially for us at Axtria!

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Table Size Optimization for Small Datasets in Amazon Redshift

Amazon Redshift is a fast, fully managed, petabyte-scale Data Warehouse (DWH) solution. It is a columnar Database and facilitates massive parallel processing (MPP). In any DWH solution, we always have facts, Dimensions, Xref, etc. types of datasets which vary significantly in size. Hence, It is not wise to use default redshift setting for all sizes of datasets. 

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Evolution of SDLC for Banking, Financial Services and Insurance (BFSI)

Today, like never before, IT captures the pulse of a banking organization. The success or failure of a banking enterprise bears a direct correlation to its ability and maturity in ensuring timely IT project delivery.

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The Mad Data Rush - Do Companies Know What Data Is Important to Collect and Use, and What Is Not?

In one of my previous organizations, I was chasing a very well-known retail organization for getting some projects and one of the key people in the leadership team told me that he understood how valuable data is and he would only share data with us if we pay his organization money for the data that he shared with us. This comment left me stunned for some time and it took me a long time to realize where this comment was coming from!

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Mortgage Servicer - You’ve Got Information!

In the light of the crisis, the mortgage industry has been under tremendous pressure to manage its business in a more data-driven manner. There are both operational as well as regulatory imperatives to understand the borrower better, maintain procedural controls, and improve transparency.

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Dirty Data, meet the KAM Braintrust

Talk about famous last words. When we last left this topic, I was wrapping up coffee with my colleague, Rick, with the ominous, “Once we get your data organized …”

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Managed Markets Operations

A Market-Driven Model for Managed Markets Operations

While my colleague posts that bio-pharmaceutical sales operations staff are working too hard, I think managed markets operations and analytics staff members are simultaneously more over-whelmed and under-resourced. For too long, too many bio-pharmaceutical firms have under-invested in analytics and operational infrastructure to support their managed markets organizations.

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