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Introducing Intelligent Data, a podcast from Perficient

Perficient

If you’ve discovered that your data strategy and technology solutions need improvement, then this podcast is for you. Join host Arvind Murali , Principal and Chief Strategist of Data at Perficient, for the first season of Intelligent Data.

Data 531
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[Podcast] Financial Services Trends and Data

Perficient

Now more than ever customers need to be supported with trust, transparency and data-based decision making. Financial Services Trends and Data. Data and AI-based disruptions [2:14]. Master data management and data governance adoption [6:10].

Trends 486
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A How-To Guide for Monetizing Open Banking and CDR data

Accenture

In our last post, we shared the two emerging business models that are powered by Open Banking application programming interfaces (APIs) and open data—banking as a platform and banking as a service. Uncategorized APIs CDR Open Banking Open Data

Data 312
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[Podcast] Healthcare Data is Changing Consumer Care

Perficient

Healthcare leaders have access to more healthcare data and technology than ever before allowing them to transform patient and member care. Healthcare Data is Changing Consumer Care. Data, analytics and healthcare consumerism [3:10]. Physician burnout data [13:10].

Data 499
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Data Science Fails: Building AI You Can Trust

The new DataRobot whitepaper, Data Science Fails: Building AI You Can Trust, outlines eight important lessons that organizations must understand to follow best data science practices and ensure that AI is being implemented successfully.

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Beyond Open Banking Compliance: The Opportunity for Commercial Banks

Accenture

Open Banking, accelerated by the Consumer Data Right (CDR) in Australia, aims to give customers control of their data and….

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Data Lake Houses: Getting Your Bank Data Right

South State Correspondent

When it comes to future success in data management in banking, the same rules apply. Your strength is your data, and your success comes from defending your data and applying your data at various angles – to credit, fraud, marketing, and understanding both your employees and customers.

Data 195
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7 Considerations for the Data Acquisition Sourcing Stage of a Data Lineage Solution Implementation

Perficient

Data lineage is the process of understanding, recording, and visualizing metadata as it flows from the originating data source to consumption. The technical capabilities of the data lineage tool are important, but the essentiality of human knowledge should not be dismissed.

Data 267
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5 Essential Steps to Ensuring Data Regulation Within Your Financial Services Institution

Perficient

The amount of data being created, captured, copied, and consumed   has increased exponentially with society’s tectonic shift to digital reliance. As a result, the pace of data privacy and data regulation has accelerated on a global scale. Classify your data.

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Fiserv adds data service for large merchants

Payments Dive

The payments processor’s new Carat point-of-sale offering aims to help big businesses optimize transaction data

Data 448
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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Data Lineage for BCBS 239 Regulatory Compliance

Perficient

The purpose of BCBS 239 (Basel Committee on Banking Supervision’s standard number 239) is to ensure that systemically important banks’ risk data aggregation capabilities and internal risk reporting practices give thorough insight into the risks to which they are exposed.

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Pass Microsoft Certified Power BI Data Analyst Exam | PL-300

Perficient

About the Exam : PL-300: Microsoft Power BI Data Analyst. Analyzing Data with Microsoft Power BI (PL-300) is the requirement for Microsoft Data Analyst Associate Certification. Power BI is one of the most used Business Intelligence and Data Visualization tools.

Data 483
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[Podcast] Collecting and Connecting Data for Interoperability

Perficient

This means that the meaning of interoperability now shifts to connected devices, data privacy, and more. Data privacy concerns [22:27]. Data & Intelligence Digital Transformation Platforms and Technology

Data 504
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Snowflake for the Modern Data Platform

Perficient

As times have evolved so have our data challenges — but we have been trying to solve it by giving it dedicated resources and we still end up missing SLAs in our traditional On Premise worlds. The data analysts. The traditional data pipelines. The Data Science teams.

Data 468
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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.

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Connecting Data Governance to an Enterprise Search Tool in Financial Services (Part 3 of 4)

Perficient

Today, we’ll share a few high-level details about a solution that Perficient built, which can allow all types of financial services companies to jump-start their data democratization programs. In our last blog post, we shared a proven approach to architecting a metadata search solution.

Tools 483
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Building Modular Pipelines in Azure Data Factory using JSON data

Perficient

Azure Data Factory (ADF) pipelines are powerful and can be complex. Utilized Functions and JSON data to pass messages. These expressions can prepare the data for activities within the pipeline. Using Azure Functions and JSON data.

Data 412
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Data Is Key Across the Sales Enablement Platform

Perficient

This blog explores the benefits that data can bring to your sales enablement program. In addition to the technology and having the right teams involved, data – where and how it is sourced, stored, stewarded, refreshed, and enriched – is critical. Data-Driven Application Implementations.

Data 313
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Data Is the Foundation…for Everything in Insurance (Part 4 of 5)

Perficient

Data fuels the engine of the digital economy. Connected experiences, in the context of the customer relationship, are driven by a robust data set that confidently presents integrated, diverse data to enable actionable insights that can be automated across the customer’s journey.

Data 499
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ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

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[Podcast] Data Realities for Implementing AI

Perficient

In season 1 episode 3 of the Intelligent Data Podcast , host Arvind Murali and his guest Christine Livingston, Perficient’s Managing Director and Chief Strategist of AI , discuss trends in AI, the value of big data and data quality, supervised learning, AI ethics, and more.

Data 330
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Customizing Extractions from Oracle Enterprise Data Management

Perficient

Oracle’s Enterprise Data Management (EDM) solution has been heavily focused on several areas over the past couple of years; data governance, data integrity, and out-of-box integrations just to name a few. Once such enhancement is the flexibility in extracting data from EDM.

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What’s threatening data-driven growth for banks?

Accenture

There’s more data available to banks than ever before. Most commercial banks know that making better use of their data would have a significant impact on their business. As I discussed in my first post in this series, data can be used to improve a bank’s….

Data 514
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Online Shopping Trends: Mobile Payments Are Mighty

Payments Dive

He shares data and insight on how 2020 may have changed shopping forever The holiday online shopping trend jumped from over 13% in 2019, to nearly 20% in 2020, according to Mastercard. Jordan Reynolds leads the e-Commerce and Marketplace verticals at Ekata.

Trends 470
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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

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[Podcast] Optimizing Big Data to Drive Real Value

Perficient

Big data can revolutionize and shape data-driven digital transformation and engagement across multiple industries. It’s important for businesses to have a good data strategy and data scientists in order to take full advantage of all the benefits your data can offer.

Big Data 411
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How data engineers tame Big Data?

Dataconomy

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to […] Big Data Data Science data engineers Featured

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Achieving Data Democratization in Financial Services (Part 4 of 4)

Perficient

Over the last three blog posts, we discussed the importance of data democratization in financial services. To maximize the value of data resources, they must be discoverable by those who require the information.

Data 300
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Data Democratization in Financial Services (Part 1 of 4)

Perficient

In my 30-plus years of leading and supporting data programs for major financial brands, data democratization has gone from wish lists to a must-have. Data is among a financial services firm’s greatest assets. What Is Data Democratization?

Data 285
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Democratizing AI for All: Transforming Your Operating Model to Support AI Adoption

Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. With the emergence of enterprise AI platforms that automate and accelerate the lifecycle of an AI project, businesses can build, deploy, and manage AI applications to transform their products, services, and operations. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Democratizing AI through your organization requires more than just software. It may require changing your operation models and finding the right guidance to realize the full breadth of capabilities.

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PayPal confirms data breach

Payments Dive

Impacted customers were notified of the incident nearly a month after it was discovered. It’s unclear where or how customer account credentials were obtained

Data 195
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CPM Data File Batch Functionality

Perficient

Both OneStream and Oracle EPM cloud provide the data file batch functionality to load the data. Create data management sequence. Batch file processing is executed by creating a Business Rule Data Management Step that calls an Extender Business Rule created in step one.

Data 300
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Customer Data Management Challenges in Financial Services

Perficient

Today, I will dive into the customer data management challenges financial companies might encounter when starting their personalization journey. Data management in any financial services firm is complex. It’s a data-intensive business. Data is also everywhere.

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How to control sensitive data on unmanaged devices with MCAS

Perficient

In this day and age, protecting your organization’s sensitive data has started to become exceedingly difficult. Controlling End-Users using Sensitive Data on Unmanaged Devices. To do this find the Inspection method drop-down and select Data Classification Service.

Data 511
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Digitizing Logistics: Harness the Power of Data in 4 Steps

Entering a new demand gen position in a volatile market is nerve-wracking. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects using different types of data.