Big data itself does not alter the approach to governance nor its framework. And big data isn’t just about data – it’s also concerned with managing and governing vast amounts of content of varying types such as video, images, voice, etc. Accountabilities and decision rights still need to be assigned; clear rules, processes, controls still […]
Posts Tagged ‘Big Data’
Data Lake and Information Governance – The Key Takeaways
A Data Lake can be a highly valuable asset to any enterprise, and there is a myriad of technology solutions available for leveraging the processes to feed, maintain and retrieve information from the Lake. But all this technology is, if not worthless, significantly less valuable, if the environment is not well governed and managed. This […]
Real-time Machine Learning in Azure
In the war of cloud computing, AWS is currently the undisputed leader but Microsoft Azure seems to be chipping away at AWS’ lead with every passing quarter. While Google Cloud offers impressive tools as well, it is struggling to keep pace with Azure. This could be traced to Microsoft’s longer tenure in the enterprise market. […]
AI and Big Data: The Yin and Yang of Technical Innovation
I’ve had some interesting conversations with my colleagues Christine Livingston and Arvind Murali. Christine knows AI. Arvind knows data, especially big data. As we spoke it became obvious that the two are deeply interconnected. Innovation today seems to be driven by data. AI relies on data. Just implementing any kind of artificial intelligence means you […]
Leverage MicroStrategy SDK with Web Data Connector for Tableau
Both Tableau and MicroStrategy are great for analytics. And when you combine MicroStrategy’s security, governance and scalability with Tableau’s ease of use and self-service you get the best of both worlds. A customized web data connector allows Tableau users to do just that. Perficient’s MicroStrategy experts have created a plug-in for Tableau users that provides access […]
Key Differences between a Traditional Data Warehouse and Big Data
Traditional data warehouse solutions were originally developed out of necessity. In order to run the business, every company uses enterprise resource planning (ERP) and CRM applications to manage back-office functions like finance, accounts payable, accounts receivable, general ledger, and supply chain, as well as front-office functions like sales, service, and call center. The data captured […]
Approaches to Embrace Big Data
Not every organization starts its big data journey from the same place. Some have robust business intelligence functions and capabilities, while others are doing great things with Excel. However, in order to drive efficiencies, support expected future growth and to continue its evolution to a data-driven company, most organizations are reviewing their current suite of software […]
Creating a Big Data Platform Roadmap
One of the most frequently asked questions by our customers is the roadmap to deploying a Big Data Platform and becoming a truly data-driven enterprise. Although the roadmap is different from customer to customer, at a high level, I would break it down into three phases: Phase – 1 Building the Foundation Just as you […]
How Microsoft Dynamics 365 Fits Into the Big Data Story
Business intelligence, artificial intelligence, intelligent cloud, intelligent edge, big data…the buzzwords are all around. There is a fundamental shift in the way companies are doing business. Many are beginning to leverage their data in new and innovative ways. They are leveraging their data to make critical business decisions, identify revenue growth opportunities and improve customer […]
Establish Formal Data Contracts Between Data Owners and Consumers
A final capability that is emerging is the establishment of formal data contracts between data owners and data consumers and integrates each of the key capabilities described in our previous blogs. A data contract is an agreement that specifies data owner accountability regarding data delivery acceptability levels, as well as the consequences and expectations for […]
Visibility and Value in the Healthcare Performance
Healthcare practitioners must untangle the complex relationship of data analytics in order to provide a proper value for patients. Visibility To ensure that patients receive the best care possible, healthcare teams must continuously monitor the performance of the healthcare facility and the daily operations. With open visibility, practitioners establish a sense of trust and with […]
The 7 Critical Challenges Supporting Healthcare Use Cases
The challenges in delivering healthcare data solutions that address complex healthcare business problems aren’t obvious when setting sail on an exciting new project. It’s focus a large percentage of your time searching for the latest sophisticated data crunching, machine learning, predictive data analytics tools around that will magically solve all of the problems without fully […]