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What might 2025 hold as expectations for customer data ?


As we look towards 2025, the landscape of consumer data will be profoundly shaped by the demand for hyper-personalization, where consumers expect experiences tailored to their unique behaviors and preferences.

This shift will necessitate greater transparency, as individuals increasingly seek control over how their information is utilized, creating a delicate balance between personalization and privacy.

The rise of zero-party data—information that consumers willingly share—will be pivotal in fostering trust while enhancing personalized interactions. Loyalty programs are expected to play a crucial role in consumer decision-making, with a significant portion of digital users actively participating. Meanwhile, AI-driven data analysis will revolutionize commerce, enabling brands to implement conversational interfaces and deliver customized recommendations.

Companies will need to adopt an advisor mentality, leveraging data to cultivate loyalty through personalized guidance. A robust, centralized data strategy will be essential for brands aiming to create effective hyper-personalized experiences.

Despite ongoing privacy concerns, consumers are likely to continue engaging with social media platforms for entertainment and shopping, providing additional data touchpoints. Furthermore, automated insights derived from data will become commonplace, empowering businesses to make swift and informed decisions. Lastly, the emergence of confidential computing will represent a significant advancement in securely analyzing consumer data while safeguarding privacy, setting the stage for a more responsible and innovative approach to consumer engagement.

We are our Data


For organizations, effective management of your personal Dataome through CMDM practice is important. Not all organizations offer consumers the ability to manage their personal digital dataome, but Pretectum CMDM does.

Being able to curate content about yourself, offers several advantages to you as a consumer, and to organizations too.

Enhanced Personalization: Organizations that offer this capability can more precisely tailor their services based on a comprehensive understanding of your preferences and behaviors.
Improved Decision-Making: Access to accurate and timely data in various engagements will allow organizations to make better informed decisions that benefit both them and the consumer.
Increased Trust: Transparent management of personal data fosters improved trust between consumers and organizations by ensuring compliance with privacy regulations.
By understanding the significance of your dataome and how it is managed through CMDM practices, you can better navigate our complex digital landscape all the while ensuring that your personal information is utilized ethically and effectively, because you have the control and Pretectum CMDM powers it.

Read more at https://www.pretectum.com/our-digital-dataome-we-are-our-data/

How Data Magic Transforms Pet Care


The Power of Customer Data Management: Purina’s My Pup Portal and Beyond
The pet food industry is highly competitive, pressures comes from a number of areas. Regulations and safety concerns such as adverse event reports and FDA investigations, can erode consumer trust and lead to regulatory actions. Supply chain disruptions and labor shortages can impact the availability and cost of raw materials, straining manufacturing efficiency.

Pet food manufacturers must also adapt to changing consumer preferences towards premium, fresh, and gourmet pet food to maintain market share in a highly competitive market. Additionally, ensuring the quality and safety of ingredients is crucial to avoid contamination or recalls that could damage the brand’s reputation.

Economic factors like inflation can further increase raw material costs, making competitive pricing challenging. To mitigate these risks, pet food manufacturers must invest in innovation, quality control, and supply chain management to maintain consumer trust and its competitive edge. An innovative approach also involves leveraging customer data to maximize relationships.

Managing customer data effectively is essential when building strong customer relationships, driving business growth, and ensuring customer satisfaction. Purina, a leading global pet food brand, has been at the forefront of leveraging customer data to enhance its products and services.

Here, we’ll consider how Nestlé Purina Petcare has adopted a relationship-concentric approach to customer data management, particularly through the My Pup portal. We’ll consider how the company utilizes data to drive innovation, customer engagement, and compliance.

Read more at https://www.pretectum.com/pawsitively-personal-how-data-magic-transforms-pet-care/

The Basics of SFTP: Authentication, Encryption, and File Management


If you’re looking to pass hundreds of GBs of data quickly, you’re likely not going to use a REST API. That’s why every day, companies share data sets of users, patient claims, financial transactions, and more via SFTP. If you’ve been in the industry for a while, you’ve probably come across automated SFTP jobs that…
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The post The Basics of SFTP: Authentication, Encryption, and File Management appeared first on Seattle Data Guy.


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Author: research@theseattledataguy.com

From Chaos to Clarity: The Stealth Guide to Data Governance Success
In today’s fast-paced business world, data governance often feels like an insurmountable challenge. While teams focus on product development, innovation, and revenue generation, governance can seem like an abstract and expensive luxury. But as data volumes surge and complexity grows, the absence of proper governance creates a widening gap. Organizations are missing critical insights and […]


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Author: Subasini Periyakaruppan

The Data-Centric Revolution: Putting Knowledge Into Our Knowledge Graphs
I recently gave a presentation called “Knowledge Management and Knowledge Graphs” at a KMWorld conference, and a new picture of the relationship between knowledge management and knowledge graphs gradually came into focus. I recognized that the knowledge graph community has gotten quite good at organizing and harmonizing data and information, but there is little knowledge […]


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Author: Dave McComb

The Challenges of Data Migration: Ensuring Smooth Transitions Between Systems
Data migration — the process of transferring data from one system to another — is a critical undertaking for organizations striving to upgrade infrastructure, consolidate systems, or adopt new technologies.   However, data migration challenges can be very complex, especially when doing large-scale data migration projects.   Duplicate or missing data, system compatibility issues, data security problems, […]


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Author: Ainsley Lawrence

Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain
Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy. […]


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Author: William A. Tanenbaum and Isaac Greaney

Cybersecurity Strategies for Insurers: Protecting Data in the Digital Age
We’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity […]


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Author: Christine Haskell

Becoming a Citizen Data Scientist Can Improve Career Opportunities
When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.  Like every other cultural shift within an organization, the management team must […]


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Author: Kartik Patel

Customer Master Data as a Service


Customer Master Data Management (CMDM) as a service represents a contemporary approach to data management that enables organizations to streamline and centralize their customer data across various platforms and departments.

Such a service is particularly needed in today’s data-driven businesses, where the ability to access accurate, consistent, and up-to-date customer information is essential for delivering personalized experiences and making informed business decisions.

Read more at https://pretectum-as-44250291.hubspotpagebuilder.com/pretectum/customer-master-data-management-as-a-service

What to Expect in AI Data Governance: 2025 Predictions


In 2025, preventing risks from both cyber criminals and AI use will be top mandates for most CIOs. Ransomware in particular continues to vex enterprises, and unstructured data is a vast, largely unprotected asset. AI solutions have moved from experimental to mainstream, with all the major tech companies and cloud providers making significant investments in […]

The post What to Expect in AI Data Governance: 2025 Predictions appeared first on DATAVERSITY.


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Author: Krishna Subramanian

User-Friendly External Smartblobs Using a Shadow Directory

I am very excited about the HCL Informix® 15 external smartblob feature.

If you are not familiar with them, external smartblobs allow the user to store actual Binary Large Object (blob) and Character Large Object (clob) data external to the database. Metadata about that external storage is maintained by the database.

Notes: This article does NOT discuss details of the smartblobs feature itself, but rather proposes a solution to make the functionality more user-friendly. For details on feature behavior, setup, and new functions, see the documentation.

At the writing of this blog, v15.0 does not have the ifx_lo_path function defined, as required below.  This has been reported to engineering.  The workaround is to create it yourself with the following command:

create dba function ifx_lo_path(blob)
  returns lvarchar
  external name '(sq_lo_path)'
  language C;

This article also does not discuss details of client programming required to INSERT blobs and clobs into the database.

The external smartblob feature was built for two main reasons:

1. Backup size

Storing blobs in the database itself can cause the database to become extremely large. As such, performing backups on the database takes an inordinate amount of time, and 0 level backups can be impossible. Offloading the actual blob contents to an external file system can lessen the HCL Informix backup burden by putting the blob data somewhere else. The database still governs the storage of, and access to, the blob, but the physical blob is housed elsewhere/externally.

2. Easy access to blobs

Users would like easy access to blob data, with familiar tools, without having to go through the database. 

Using External Smartblobs in HCL Informix 15

HCL Informix 15 introduces external smartblobs. When you define an external smartblob space, you specify the external directory location (outside the database) where you would like the actual blob data to be stored. Then you assign blob column(s) to that external smartblob space when you CREATE TABLE. When a row is INSERTed, HCL Informix stores the blob data in the defined directory using an internal identifier for the filename.

Here’s an example of a customer forms table: custforms (denormalized and hardcoded for simplicity). My external sbspace directory is /home/informix/blog/resources/esbsp_dir1.

CREATE TABLE custforms(formid SERIAL, company CHAR(20), year INT, lname CHAR(20), 
formname CHAR(50), form CLOB) PUT form IN (esbsp);

Here, I INSERT a 2023 TaxForm123 document from a Java program for a woman named Sanchez, who works for Actian:

try(PreparedStatement p = c.prepareStatement("INSERT INTO custforms 
(company, year, lname, formname, form) values(?,?,?,?,?)");

FileInputStream is = new FileInputStream("file.xml")) {
p.setString(1, "Actian");
p.setString(2, "2023");
p.setString(3, "Sanchez");
p.setString(4, "TaxForm123");
p.setBinaryStream(5, is);
p.executeUpdate();
}

After I INSERT this row, my external directory and file would look like this:

[informix@schma01-rhvm03 resources]$ pwd
/home/informix/blog/resources
[informix@schma01-rhvm03 resources]$ ls -l esbsp*
-rw-rw---- 1 informix informix 10240000 Oct 17 13:22 esbsp_chunk1

esbsp_dir1:
total 0
drwxrwx--- 2 informix informix 41 Oct 17 13:19 IFMXSB0
[informix@schma01-rhvm03 resources]$ ls esbsp_dir1/IFMXSB0
LO[2,2,1(0x102),1729188125]

Where LO[2,2,1(0x102),1729188125]is an actual file that contains the data that I could access directly. The problem is that if I want to directly access this file for Ms. Sanchez, I would first have to figure out that this file belongs to her and is the tax document I want. It’s very cryptic!

A User-Friendly Smartblob Solution

When talking to Informix customers, they love the new external smartblobs feature but wish it could be a little more user-friendly.

As in the above example, instead of putting Sanchez’s 2023 TaxForm123 into a general directory called IFMXSB0 in a file called LO[2,2,1(0x102),1729188125, which together are meaningless to an end-user, wouldn’t it be nice if the file was located in an intuitive place like /home/forms/Actian/2024/TaxForm123/Sanchez.xml or something similar…something meaningful…how YOU want it organized?

Having HCL Informix automatically do this is a little easier said than done, primarily because the database would not intuitively know how any one customer would want to organize their blobs. What exact directory substructure? From what column or columns do I form the file names? What order? All use cases would be different.

Leveraging a User-Friendly Shadow Directory

The following solution shows how you can create your own user-friendly logical locations for your external smartblobs by automatically maintaining a lightweight shadow directory structure to correspond to actual storage locations. The solution uses a very simple system of triggers and stored procedures to do this.

Note: Examples here are shown on Linux, but other UNIX flavors should work also.

How to Set Up in 4 Steps

For each smartblob column in question

STEP 1: Decide how you want to organize access to your files.

Decide what you want the base of your shadow directory to be and create it. In my case for this blog, it is: /home/informix/blog/resources/user-friendly. You could probably implement this solution without a set base directory (as seen in the examples), but that may not be a good idea because users would unknowingly start creating directories everywhere.

STEP 2: Create a create_link stored procedure and corresponding trigger for INSERTs.

This procedure makes sure that the desired data-driven subdirectory structure exists from the base (mkdir -p), then forms a user-friendly logical link to the Informix smartblob file.    You must pass all the columns to this procedure from which you want to form the directory structure and filename from the trigger.

CREATE PROCEDURE

CREATE PROCEDURE create_link (p_formid INT, p_company CHAR(20), p_year INT,
p_lname CHAR(20), p_formname CHAR(50))
DEFINE v_oscommand CHAR(500);
DEFINE v_custlinkname CHAR(500);
DEFINE v_ifmxname CHAR(500);
DEFINE v_basedir CHAR(100);
-- set the base directory
LET v_basedir = '/home/informix/blog/resources/user-friendly';
-- make sure directory tree exists
LET v_oscommand = 'mkdir -p ' || TRIM(v_basedir) || '/' || TRIM(p_company) || '/' || 
TO_CHAR(p_year);
SYSTEM v_oscommand; 

-- form full link name 
LET v_custlinkname = TRIM(v_basedir) || '/' || TRIM(p_company) || '/' || TO_CHAR(p_year) 
|| '/' || TRIM(p_lname) || '.' || TRIM(p_formname) || '.' || TO_CHAR(p_formid);

-- get the actual location 
SELECT IFX_LO_PATH(form::LVARCHAR) INTO v_ifmxname FROM custforms WHERE formid = p_formid; 

-- create the os link 
LET v_oscommand = 'ln -s -f ' || '''' || TRIM(v_ifmxname) || '''' || ' ' || v_custlinkname; 
SYSTEM v_oscommand;

END PROCEDURE

CREATE TRIGGER

CREATE TRIGGER ins_tr INSERT ON custforms REFERENCING new AS post
FOR EACH ROW(EXECUTE PROCEDURE create_link (post.formid, post.company,
post.year, post.lname, post.formname));

STEP 3: Create a delete_link stored procedure and corresponding trigger for DELETEs.

This procedure will delete the shadow directory link if the row is deleted.

CREATE PROCEDURE

CREATE PROCEDURE delete_link (p_formid INT, p_company CHAR(20), p_year INT,
p_lname CHAR(20), p_formname CHAR(50))
DEFINE v_oscommand CHAR(500);
DEFINE v_custlinkname CHAR(500); 
DEFINE v_basedir CHAR(100);
-- set the base directory
LET v_basedir = '/home/informix/blog/resources/user-friendly';
-- form full link name
LET v_custlinkname = TRIM(v_basedir) || '/' ||
TRIM(p_company) || '/' || TO_CHAR(p_year) || '/' || TRIM(p_lname) || '.'
|| TRIM(p_formname) || '.' || TO_CHAR(p_formid);
-- remove the link
LET v_oscommand = 'rm -f -d ' || v_custlinkname;
SYSTEM v_oscommand;

END PROCEDURE

CREATE TRIGGER

CREATE TRIGGER del_tr DELETE ON custforms REFERENCING old AS pre FOR EACH ROW
(EXECUTE PROCEDURE delete_link (pre.formid, pre.company, pre.year, pre.lname, pre.formname));

STEP 4: Create a change_link stored procedure and corresponding trigger for UPDATEs, if desired.   In my example, Ms. Sanchez might get married to Mr. Simon and an UPDATE to her last name in the database occurs. I may then want to change all my user-friendly names from Sanchez to Simon.  This procedure deletes the old link and creates a new one.

Notice the update trigger only must fire on the columns that form your directory structure and filenames.

CREATE PROCEDURE

CREATE PROCEDURE change_link (p_formid INT, p_pre_company CHAR(20), 
p_pre_year INT, p_pre_lname CHAR(20), p_pre_formname CHAR(50), p_post_company CHAR(20), 
p_post_year INT, p_post_lname CHAR(20), p_post_formname CHAR(50))

DEFINE v_oscommand CHAR(500);
DEFINE v_custlinkname CHAR(500);
DEFINE v_ifmxname CHAR(500);
DEFINE v_basedir CHAR(100);
-- set the base directory
LET v_basedir = '/home/informix/blog/resources/user-friendly';

-- get rid of old

-- form old full link name
LET v_custlinkname = TRIM(v_basedir) || '/' || TRIM(p_pre_company) || '/' || 
TO_CHAR(p_pre_year) || '/' || TRIM(p_pre_lname) || '.' || TRIM(p_pre_formname) || '.' 
|| TO_CHAR(p_formid) ;

-- remove the link and empty directories
LET v_oscommand = 'rm -f -d ' || v_custlinkname;
SYSTEM v_oscommand;

-- form the new
-- make sure directory tree exists
LET v_oscommand = 'mkdir -p ' || TRIM(v_basedir) || '/' || TRIM(p_post_company) || '/' || 
TO_CHAR(p_post_year);
SYSTEM v_oscommand;

-- form full link name
LET v_custlinkname = TRIM(v_basedir) || '/' || TRIM(p_post_company) || '/' || 
TO_CHAR(p_post_year) || '/' || TRIM(p_post_lname) || '.' || TRIM(p_post_formname) 
|| '.' || TO_CHAR(p_formid) ;

-- get the actual location
-- this is the same as before as id has not changed
SELECT IFX_LO_PATH(form::LVARCHAR) INTO v_ifmxname FROM custforms WHERE formid = p_formid;

-- create the os link
LET v_oscommand = 'ln -s -f ' || '''' || TRIM(v_ifmxname) || '''' || ' ' || v_custlinkname;
SYSTEM v_oscommand;

END PROCEDURE

CREATE TRIGGER

CREATE TRIGGER upd_tr UPDATE OF formid, company, year, lname, formname ON custforms
REFERENCING OLD AS pre NEW as post

FOR EACH ROW(EXECUTE PROCEDURE change_link (pre.formid, pre.company, pre.year, pre.lname, 
pre.formname, post.company, post.year, post.lname, post.formname));

Results Example

Back to our example.

With this infrastructure in place, now in addition to the Informix-named file being in place, I would have these user-friendly links on my file system that I can easily locate and identify.

INSERT

[informix@schma01-rhvm03 2023]$ pwd
/home/informix/blog/resources/user-friendly/Actian/2023
[informix@schma01-rhvm03 2023]
$ ls Sanchez.TaxForm123.2

If I do an ls -l, you will see that it is a link to the Informix blob file.

[informix@schma01-rhvm03 2023]$ ls -l
total 0
lrwxrwxrwx 1 informix informix 76 Oct 17 14:20 Sanchez.TaxForm123.2 -> 
/home/informix/blog/resources/esbsp_dir1/IFMXSB0/LO[2,2,1(0x102),1729188126]

UPDATE

If I then update her last name with UPDATE custforms SET lname = ‘Simon’ where formid=2,my file system now looks like this:

[informix@schma01-rhvm03 2023]$ ls -l
lrwxrwxrwx 1 informix informix 76 Oct 17 14:25 Simon.TaxForm123.2 -> 
/home/informix/blog/resources/esbsp_dir1/IFMXSB0/LO[2,2,1(0x102),1729188126]

DELETE

If I then go and DELETE this form with DELETE FROM custforms where formid=2, my directory structure looks like this:

[informix@schma01-rhvm03 2023]$ pwd
/home/informix/blog/resources/user-friendly/Actian/2023
[informix@schma01-rhvm03 2023]$ ls
[informix@schma01-rhvm03 2023]$

We Welcome Your Feedback

Please enjoy the new HCL Informix15 external smartblob feature.

I hope this idea can make external smartblobs easier for you to use. If you have any feedback on the idea, especially on enhancements or experience in production, please feel free to contact me at mary.schulte@hcl-software.com. I look forward to hearing from you!

Find out more about the launch of HCL Informix 15.

Notes

1. Shadow directory permissions. In creating this example, I did not explore directory and file permissions, but rather just used general permissions settings on my sandbox server. Likely, you will want to control permissions to avoid some of the anomalies I discuss below.

2. Manual blob file delete. With external smartblobs, if permissions are not controlled, it is possible that a user might somehow delete the physical smartblob file itself from its directory. HCL Informix, itself, cannot control this from happening. In the event it does happen, HCL Informix does NOT delete the corresponding row; the blob file will just be missing. There may be aspects to links that can automatically handle this, but I have not investigated them for this blog.

3. Link deletion in the shadow directory. If permissions are not controlled, it is possible that a user might delete a logical link formed by this infrastructure. This solution does not detect this. If this is an issue, I would suggest a periodic maintenance job that cross references the shadow directory links to blob files to detect missing links. For those blobs with missing links, write a database program to look up the row’s location with the IFX_LO_PATH function, and reform the missing link.

4. Unique identifiers. I highly recommend using unique identifiers in this solution. In this simple example, I used formid. You don’t want to clutter things up, of course, but depending on how you structure your shadow directories and filenames, you may need to include more unique identifiers to avoid directory and link names duplication.

5. Empty directories. I did not investigate if there are options to rm in the delete stored procedure to clean up empty directories that might remain if a last item is deleted.

6. Production overhead. It is known that excessive triggers and stored procedures can add overhead to a production environment. For this blog, it is assumed that OLTP activity on blobs is not excessive, therefore production overhead should not be an issue. This being said, this solution has NOT been tested at scale.

7. NULL values. Make sure to consider the presence and impact of NULL values in columns used in this solution. For simplicity, I did not handle them here.

Informix is a trademark of IBM Corporation in at least one jurisdiction and is used under license.

 

The post User-Friendly External Smartblobs Using a Shadow Directory appeared first on Actian.


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Author: Mary Schulte

AI Predictions for 2025: Embracing the Future of Human and Machine Collaboration


Predictions are funny things. They often seem like a bold gamble, almost like trying to peer into the future with the confidence we inherently lack as humans. Technology’s rapid advancement surprises even the most seasoned experts, especially when it progresses exponentially, as it often does. As physicist Albert A. Bartlett famously said, “The greatest shortcoming […]

The post AI Predictions for 2025: Embracing the Future of Human and Machine Collaboration appeared first on DATAVERSITY.


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Author: Philip Miller

Focusing on Data Privacy: Building Trust and Strengthening Security


In today’s digital age, managing and minimizing data collection is essential for maintaining business security. Prioritizing data privacy helps organizations ensure they only gather necessary information, reducing the risk of data breaches and misuse. This approach addresses potential vulnerabilities at their source, mitigating the impact of breaches and avoiding regulatory penalties as scrutiny over privacy […]

The post Focusing on Data Privacy: Building Trust and Strengthening Security appeared first on DATAVERSITY.


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Author: Dorababu Nadella

Transforming Marketing Data into Business Growth: Key Insights and Strategies


Marketing leaders and data professionals often grapple with a familiar challenge: how to transform marketing data into tangible business growth. During a recent episode of The Lights on Data Show, I had the privilege of speaking with Kasper Bossen-Rasmussen, founder and CEO of Accutics, about this very topic. Together, we explored key takeaways for addressing […]

The post Transforming Marketing Data into Business Growth: Key Insights and Strategies appeared first on LightsOnData.


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Author: George Firican

Why the Growing Adoption of IoT Demands Seamless Integration of IT and OT


Over the past year, cyberattacks on cyber-physical systems (CPS) have cost organizations around the world at least $500,000, highlighting the growing financial and operational risks of compromised security. As artificial intelligence (AI) continues to emerge as a key driver in nearly every sector, the need for trustworthy, secure data becomes even more crucial. To address these challenges, […]

The post Why the Growing Adoption of IoT Demands Seamless Integration of IT and OT appeared first on DATAVERSITY.


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Author: Julian Durand

Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools


Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train…
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The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools appeared first on Seattle Data Guy.


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Author: research@theseattledataguy.com

Customer Master Data Management as a service

Customer Master Data Management (CMDM) is an essential practice, and sometimes a technical solution for a good many organizations. In its adoption, many would seek to optimize customer data, and particularly consumer data across the many platforms and departments that they have.

Pretectum’s CMDM platform exemplifies a solution that aligns well with many of the needs and expectations of such organizations. Offering a comprehensive cloud-based solution, it addresses many of the complexities of managing customer data in multi-channel environments.

In this blog post, we will explore some of the capabilities of the Pretectum CMDM platform, focusing on integration of unified customer profiles across diverse applications and the potential associated with consumer self-service data verification, and data consent management.

The Need for Centralized Customer Data

Modern times have businesses operating with numerous opportunities for customer touch. These range from e-commerce sites where customers shop for anything from ad hoc buys, luxury purchases, groceries, experiences and even larger spend items like property. There are also service portals, where customers might book appointments or engage with customer service agents to schedule various actions or inquiries related to their needs —having a unified customer profile for the optimization of these experiences has become a necessity.

The customer profile consolidates all relevant customer information, including contact details, transaction history aggregations, and interaction summaries, into a single view that can be accessed by various departments. Up until quite recently, the challenge with many of these systems has been the constrained nature of their data models, limitations in terms of integration and a lack of flexibility in how they can be deployed.

Another challenge that many organizations face, is the potential for duplicative customer profiles due to differing departmental behaviours, needs and data entry practices.

Pretectum CMDM addresses this issue by providing a centralized repository that integrates data from multiple sources, ensuring that all interested parties, are working with consistent and accurate information from a unified customer data profile.

Account Management Functions

Consumer Self-Service Data Verification

A standout feature for Pretectum CMDM might be its support for consumer data self-service data verification. The capability empowers customers to verify and update their information directly, reducing the burden on customer service teams while enhancing data accuracy. By allowing customers to manage their own data, organizations can minimize errors associated with manual data entry and ensure that profiles are current. Self-service models like this, not only improve data quality but also fosters greater trust in the organization. As individuals, consumers may feel more in control of their personal information through this transparent approach to secure customer data profile handling.

Data Consent Management

In addition to self-service verification, effective data consent management is essential to ensure that an organization is remaining compliant in an increasingly complex data privacy and consumer data handling government regulated landscape. Pretectum CMDM includes features that help organizations more easily manage customer consent for data usage in compliance with various local, regional, national and international privacy regulations.

By clearly documenting consent preferences and allowing customers to modify their choices, an organization can ensure they respect consumer rights while maintaining robust data governance practices.

Privacy Matters Pictogram

Integration Across Platforms

The ability to access a unified customer profile is further enhanced through Pretectum CMDM’s integration capabilities with other applications and platforms. Whether it’s an e-commerce platform, cloud database, CRM, CDP, ERP, warranty service portal, or call center application, the CMDM system facilitates seamless data flow between these data repositories. This integration allows organizations to service personalized experiences with the best possible, centrally curated customer data profiles. The Pretectum CMDM serves as a single source of truth in relation to the customer data profile.

For example, when a customer makes an online purchase, their information is automatically brought to the purchase event for reference, and when they complete the transaction, the latest interaction could be updated in the unified profile. If they later contact customer support via phone, representatives access their customer profile complete interaction history in real-time. This level of integration not only enhances customer service but also supports marketing segmentation and targeting efforts by enabling targeted campaigns based on more accurate customer characteristics.

When transactional data from transactional systems, campaign data in the marketing system, and the customer master from the Pretectum CMDM are all brought together, there is a much richer source of content upon which decisions can be made.

Security Considerations

A significant advantage of adopting a cloud-based solution like Pretectum CMDM is also the enhanced security, and logging compared to traditional on-premise or siloed systems. Cloud applications often benefit from advanced security protocols that are often beyond the reach of individual organizations managing their own infrastructure.

With Pretectum CMDM we use high data encryption levels both at-rest and in transit, we provide tagging for PII, data obfuscation, secondary authenticated data reveals, and verbose reveal and change logging all stored in a blockchain.

  • Regular Updates: Pretectum’s platform is frequently updates to bring product improvements and ensure potential vulnerabilities are neutralized.
  • Data Encryption: Sensitive information is identifiable and all data is encrypted both at rest and in transit, this is a safeguarding measure against unauthorized access.
  • Comprehensive Auditing: Detailed audit trails help provide you with the ability to monitor access events and data changes to customer profiles.

Security measures are vital for maintaining compliance with stringent data protection regulations and for providing consumer trust assurances.

Composability is the capability to create modular and interchangeable data services that can be used across different applications or processes without the need for extensive customization. Composable

Secondary Benefits of Unified Customer Profiles

Beyond the immediate advantages of improved customer engagement and operational efficiency, centralized management of rich customer profiles offers several secondary benefits across various organizational functions too.

  • Risk Management: Unified customer data profiles allow for better customer risk assessment. This is achieved by providing a perspective on the customer’s profile and any indicators that might influence risk models.
  • Marketing Optimization: With comprehensive customer profiles readily available, marketing teams can craft campaigns tailored to specific audience segments based on key profile attributes.
  • Collections Efficiency: Access to accurate contact information and aggregated history indicators can streamline collections processes, reduce costs and bring efficiency to teams and processes associated with chasing down arrears and debt.
  • Strategic Decision-Making: Executives can make better use of analytics that are fed from unified customer profiles to formulate cross divisional strategic initiatives.

The integration of these and others benefits are illustrative of how CMDM not only enhances operational capabilities but also contributes to broader organizational goals.

Adoption of Pretectum CMDM could represent a significant strategic move for your organization in its efforts to centralize customer data management. A focus on the capabilities of consumer self-service verification and robust consent management, alongside seamless integration with other applications means you are better positioned to formulate a comprehensive view of customers, a view that supports the driving of increased engagement, retention and operational efficiency.

Security measures inherent to the platform, align with those of other cloud solutions, positioning them as superior choices over traditional or home-grown systems. As your organization continues its’ customer data management journe, being able to maximize the benefits of a digital landscape means that embracing cloud-based CMDM solutions may be almost unavoidable if you want to remain competitive and contain costs all the while being compliant and respectful of consumer data privacy.

The implementation of Pretectum CMDM could address your immediate operational challenges and unlock long-term strategic benefits across diverse business functions. Organizations that recognize the value of centralized customer data in the cloud will be better equipped to foster lasting relationships with their customers while still driving sustainable growth.

From Input to Insight: How Quality Data Drives AI and Automation


More and more enterprises are looking to automation and AI to deliver new efficiencies and give their organizations an edge in the market. Data is the engine that powers both automation and AI. But data must be clean and user-friendly for these systems to work effectively and deliver on their promise.  Lots of organizations are […]

The post From Input to Insight: How Quality Data Drives AI and Automation appeared first on DATAVERSITY.


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Author: Amol Dalvi

Data Monetization: The Holy Grail or the Road to Ruin?


Unlocking the value of data is a key focus for business leaders, especially the CIO. While in its simplest form, data can lead to better insights and decision-making, companies are pursuing an entirely different and more advanced agenda: the holy grail of data monetization. This concept involves aggregating a variety of both structured and unstructured […]

The post Data Monetization: The Holy Grail or the Road to Ruin? appeared first on DATAVERSITY.


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Author: Tony Klimas

Customer Data Breaches


In 2023, data breaches surged significantly, with a 20% increase from the previous year, compromising over 5 billion records. This rise is largely attributed to cloud misconfigurations, which account for over 80% of breaches, and the growing prevalence of ransomware attacks, which intensified by 50% in the first half of the year. The average ransom payment escalated dramatically, indicating that these attacks are becoming both more frequent and financially burdensome.

Cybercriminals are employing increasingly sophisticated tactics. Phishing schemes and stolen credentials remain common entry points for attacks. Additionally, application-layer attacks have surged by 80%, exposing vulnerabilities in web applications critical to business operations. The financial impact of these breaches is substantial, with the average cost per breach reaching approximately $4.5 million.

Customer data is a prime target for theft due to its sensitive nature and high value. This data often includes personal identifiable information (PII) such as names, addresses, and financial details. Insider threats also pose significant risks, contributing to about 43% of data loss incidents.

To combat these threats, organisations should adopt a comprehensive cybersecurity strategy. This includes implementing multi-factor authentication, developing incident response plans, conducting regular security audits, and investing in employee training on cybersecurity awareness.

Engaging with law enforcement and utilising advanced security technologies can further enhance protection against data breaches.
Pretectum CMDM offers solutions to enhance customer data management while addressing privacy concerns. It provides a single customer view by integrating data from various sources, enabling businesses to tailor their services effectively.

The platform also features blockchain technology for secure data management, ensuring integrity and compliance through an immutable ledger that tracks all changes to customer information.

For businesses looking to safeguard their customer data and improve their cybersecurity posture, adopting these measures is essential in today’s evolving threat landscape.

Read more at https://www.pretectum.com/customer-data-breaches-how-they-happen/

Customer Master Data and the Informed Decision


Pretectum’s Customer Master Data Management (CMDM) system is a comprehensive solution designed to centralize and standardize customer data across various organizational departments and systems. This approach enables businesses to maintain a Single Customer View (SCV), which is critical for informed decision-making and enhancing customer interactions.

Overview
Pretectum CMDM acts as a SaaS-based centralized repository for customer data, integrating information from multiple sources to provide a holistic view of each customer. This integration facilitates improved organizational decision-making, marketing strategies, and personalized customer experiences by ensuring that all departments access the same up-to-date and reliable information.

Key Features
Single Source of Truth (SSoT): Pretectum CMDM establishes a unified database that minimizes discrepancies in customer profiles, ensuring consistency across sales, marketing, and support functions.

Golden Record Management: The system creates a "golden nominal" record for each customer, consolidating all relevant data into a single authoritative source. This enhances operational efficiency and enables deeper customer engagement.

Real-time Data Synchronization: Customer data is continuously updated across all systems, which supports timely and informed decision-making.

Robust Data Governance: Pretectum CMDM maintains high data quality while complying with security and privacy regulations, which is essential for effective management of customer information.

Benefits of Using Pretectum CMDM
Enhanced Customer Experience: By leveraging accurate and comprehensive customer data, businesses can tailor their marketing campaigns and improve service interactions, leading to greater customer satisfaction and loyalty.

Operational Efficiency: The system reduces data redundancies and streamlines processes by maintaining clean and consistent customer profiles, which optimizes resource allocation.

Compliance Assurance: Pretectum CMDM helps organizations adhere to various data protection regulations (like GDPR and CCPA), safeguarding sensitive information while maintaining customer trust.

Data Integration Capabilities: The platform seamlessly integrates with other systems (like CRMs and ERPs), ensuring synchronized updates across platforms for better data analysis and strategic decision-making.

Pretectum’s CMDM system not only centralizes customer data but also enhances the overall capability of organizations to manage their customer relationships effectively. By providing a reliable framework for data management, it supports informed decision-making that can lead to improved business outcomes.
Learn more at www.pretectum.com

Modern Data Archiving: Managing Explosive Unstructured Data Growth


As unstructured data creation rates have soared, the timeframe for active use of data has shrunk due to edge computing, IoT systems, machine-generated data, and, let’s not forget, GenAI. The data use period today has largely been reduced to around 30 to 90 days before the flood of new data appearing makes the existing data […]

The post Modern Data Archiving: Managing Explosive Unstructured Data Growth appeared first on DATAVERSITY.


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Author: Steve Leeper

Delivering Personalized Recommendations Without Sacrificing User Privacy


In today’s fast-paced digital landscape, we all love a little bit of personalization. Whether it’s Netflix suggesting our next binge-worthy show or Spotify curating our playlists, these tailored experiences make us feel understood and valued. But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? […]

The post Delivering Personalized Recommendations Without Sacrificing User Privacy appeared first on DATAVERSITY.


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Author: Ganapathy Subramanian Ramachandran

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