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Posts Tagged ‘data architecture’

Incorta Analytics

Perficient Listed in Forrester Now Tech: Data Management Service Providers, Q4 2021

Data plays an essential role in today’s digital economy and keeping up with modern data management processes is key to staying competitive. In fact, enterprises with advanced data practices are more productive, innovate faster, are able to enter new markets quickly, and are more likely to be directly monetizing their data compared to their less-mature […]

Change Your Mindset to Create a Better Data and Analytics Program

Self-Service for data is not a new concept.  Even in the early 2000s, companies have struggled with giving “power users” or “information workers” access to data to develop value-based insights.   One of my past customers had a simple as a web page with hundreds of CSV formatted data extracts that people could “self-service data” based […]

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5 Ways to Consider Digital and Data and An End-to-End Architecture

Digital and data are like TV and movies. Imagine the following three scenarios of watching a movie during a long weekend with different types of technology. Note, all these movies are rated high or low on IMDB. Watching an amazing movie like Avengers End Game or Avatar on a laptop or iPad Now, that same […]

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Data Architecture: 2.5 Types of Modern Data Integration Tools

As we move into the modern cloud data architecture era, enterprises are deploying 2 primary classes of data integration tools to handle the traditional ETL and ELT use cases. The first type of Data integration tool is GUI-Based Data Integration solutions. Talend, Infosphere Datastage, Informatica, and Matillion are good examples. These tools leverage a UI […]

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OLAP and Hadoop: The 4 Differences You Should Know

OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. It has been around since 1970. Hadoop is a technology to perform massive computation on large data. Around since 2002. They can be used together but there are differences when choosing between using Hadoop/MapReduce data […]

Web API Using Azure

Meet Perficient’s Chief Strategists: Arvind Murali

Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. In 2018, we introduced our Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share unique insights on their areas of expertise. The […]

Data Architecture and Design Thinking

Simplicity is the ultimate sophistication. – Leonardo da Vinci Simplicity is a very important strategy as people are thinking of designing their modern data platforms. Design is often a complex task, so I recommend applying strong design thinking to simple goals as you lead your data architecture teams. I have stood before many architecture review […]

Refine Your Enterprise’s Approach to AI in 2019

2019 is the year to stop letting obstacles get in the way of enterprise AI adoption. Of course implementing AI tech comes with its challenges, but addressing two big obstacles may be the key to success.  According to our AI expert, practice director and chief strategist Christine Livingston, these obstacles are perception and data. And […]

Responsibility of Data Architecture in Data Governance

The data architecture capability will supply the components and standards necessary to implement other capabilities coherently and enable them to work together. A primary responsibility of data architecture is to define and have an accepted enterprise-wide set of models, standards, glossaries and hierarchies which allow a standard description of data across business lines, products and […]

Driving Better Decisions with Data Governance

The business capabilities presented in our new guide demonstrates how forward-thinking financial services companies are leveraging data governance to create value for the enterprise. Accurate and timely information continues to be a key driver of enabling better decision making. Capabilities such as data principles and strategy, data architecture, organizational roles, authoritative sources, data lineage, data […]

6 Levels Of Data Architecture

“What’s new?” is an interesting and broadening eternal question, but one which, if pursued exclusively, results only in an endless parade of trivia and fashion, the silt of tomorrow. I would like, instead, to be concerned with the question “What is best?”, a question which cuts deeply rather than broadly, a question whose answers tend […]

5 key roles of Data Architect in Information Management

  As architects, sometimes we get caught in the trap of focusing on the most tangible aspects of our architecture solving business problems, while losing track of the aspects that truly drive our architectural decisions. Information architecture serves as that vital bridge from the business applications to technology architecture (TOGAF Architecture Development Method). Although solutions […]

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