Data Related Topics 
Perficient
DECEMBER 14, 2020
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.
Perficient
JANUARY 15, 2021
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].
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Accenture
OCTOBER 7, 2020
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
Perficient
JANUARY 20, 2021
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].
Advertiser: Data Robot
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.
Accenture
JUNE 9, 2021
Open Banking, accelerated by the Consumer Data Right (CDR) in Australia, aims to give customers control of their data and….
South State Correspondent
AUGUST 1, 2022
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.
Perficient
JULY 26, 2022
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.
Perficient
JANUARY 18, 2023
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.
Payments Dive
OCTOBER 4, 2022
The payments processor’s new Carat point-of-sale offering aims to help big businesses optimize transaction data
Advertiser: Data Robot
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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Perficient
MARCH 7, 2022
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.
Perficient
JULY 13, 2022
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.
Perficient
FEBRUARY 25, 2021
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
Perficient
JULY 6, 2020
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.
Advertiser: Data Robot
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.
Perficient
JULY 21, 2021
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.
Perficient
MAY 31, 2020
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.
Perficient
FEBRUARY 24, 2021
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.
Perficient
AUGUST 23, 2021
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.
Advertiser: ZoomInfo
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!
Perficient
JANUARY 28, 2021
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.
Perficient
MARCH 19, 2021
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.
Accenture
FEBRUARY 2, 2022
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….
Payments Dive
FEBRUARY 12, 2021
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.
Advertiser: ZoomInfo
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.
Perficient
FEBRUARY 25, 2021
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.
Dataconomy
FEBRUARY 23, 2023
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
Perficient
JULY 29, 2021
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.
Perficient
JULY 6, 2021
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?
Advertiser: Data Robot
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.
Payments Dive
JANUARY 20, 2023
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
Perficient
NOVEMBER 10, 2020
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.
Perficient
NOVEMBER 30, 2020
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.
Perficient
MARCH 21, 2021
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.
Advertiser: ZoomInfo
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.
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