Trending December 2023 # Top 10 Biggest Data Analytics Funding To Know In 2023 So Far # Suggested January 2024 # Top 17 Popular

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Let’s have a look into the top 10 biggest data analytics funding to know in 2023

Data analytics is the process of examining data sets in order to find trends and draw conclusions about the information they contain. And it is the process of storing, organizing, and analyzing data for business purposes. This process is used to inform key decision-makers and allows them to make important strategic decisions based on data, rather than hunches. Data analysts typically analyze raw data for insights and trends and he collects and stores data on sales numbers, market research, logistics, linguistics, or other behaviors. Here is on the list of top 10 data analytics funding in 2023.

Fractal: It is a US-based analytics firm Fractal entered the unicorn club with an investment of $360 million from TPG Capital Asia, a private equity firm. TPG would invest the money in Fractal through TPG Capital Asia, the firm’s Asia-focused private equity platform.

Data Sutram: AI-based location intelligence company Data Sutram raised USD 2.07 million in funding. Data Sutram’s AI and ML-driven data engine is a proprietary technology that automatically processes, cleans, and catalogs raw data and unstructured data in any format geotag it.

Synaptic: It is an India-based data analytics startup, that has raised US$20 million in a Series B funding. Synaptic’s data and insights platform are used by venture capital firms and hedge funds to track companies, perform market research, and monitor portfolios.

Atlan: Data collaboration software provider Atlan closed a $50 million Series B round at $450 million led by Salesforce Ventures, Insight Partners, and Sequoia Capital India. It enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with the tool.

Finarkein Analytics: It is building a low or no-code workflow orchestration and data analytics platform for India’s current and upcoming Open Digital Ecosystems and raised over $15 million in funding. Finarkein Analytics are the builders of Flux: A responsible analytics platform.

TheMathCompany: Analytics and data engineering startup TheMathCompany raised $50 Mn funding from a round led by Brighton Park Capital. Their well-rounded consulting model addresses pressing gaps in conventional analytics service providers and off-the-shelf product models, including the lack of speed, reusability, and customization.

Locofy.ai: Enterprise software company chúng tôi raised $3 million in pre-seed funding. It provides solutions to help developers and designers with its low-code platform that converts designs to production-ready code.

Impact Analytics: It is a provider of AI-driven software-as-a-service solutions for planning and merchandising within the retail industry, and has raised $11 million in Series A. Its AI-driven technology platform powers SaaS solutions aimed at optimizing the forecasting, planning, and merchandising functions for retailers and consumer packaged goods manufacturers.

Scribble data: Machine learning feature engineering startup Scribble Data raised USD 2.2 million in seed funding led by Blume Ventures. It will also use the new capital towards strengthening its integration with third-party data solutions.

Polestar solutions: Data analytics and enterprise performance management player Polestar Solutions announced that it had raised an undisclosed amount in series-A funding from a US-based strategic investor.

Moto G7 Series: Everything We Know So Far

Motorola is gearing up to announce the Moto G7 series, which will consist of four phones: Moto G7, Moto G7 Plus, Moto G7 Power, and Moto G7 Play. Although the company hasn’t officially shared anything about the devices so far, we think we know quite a bit about them thanks to the many leaks over the past few months.

Here’s what we know so far about the Moto G7 series.

The Moto G7 series is expected to make its debut on February 7 in Brazil.

The phones will likely make their way to the U.S. a month or so after their reveal.

However, it’s possible that not all Moto G7 models will be released stateside.

The Moto G7 series could be just around the corner. Motorola has sent out invites for a press event taking place on February 7 in Brazil, where the devices are expected to be announced. Although the invite doesn’t specifically mention any of the Moto G7 handsets, we’re almost certain they’ll make their debut at the show.

Moto G7 series: Specs and features

The nitty-gritty

The Moto G7 and G7 Plus could come with 6.24-inch displays and dual-camera setups at the back.

The Moto G7 Power may pack a massive 5,000mAh battery.

The Moto G7 Play is rumored to be the smallest device in the series, with a display measuring 5.7 inches.

Motorola Brazil accidentally listed the entire Moto G7 range on its website, revealing more or less everything about the devices. The Moto G7 is expected to sport a 6.24-inch Full HD+ display and pack the Snapdragon 632 chipset along with 4GB of RAM under the hood. The device may come with a dual-camera setup on the back featuring 12 and 5MP sensors and an 8MP selfie snapper up front. The battery is said to come in at 3,000mAh, which is rather small based on the size of the device.

Other specs and features include 64GB of expandable storage, a near-stock version of Android 9 Pie, and a rear-mounted fingerprint scanner. There’s no IP rating of wireless charging, which isn’t too surprising based on the price of the device. However, a headphone jack will likely be included as well.

The Moto G7 phones might look a lot more modern than their predecessors.

The Moto G7 and G7 Plus may come with thin bezels and a waterdrop notch.

The Moto G7 Power and Play will follow the same design language but could feature thicker bezels and larger notches.

The Moto G7 Power and Play follow the same design language as the other two devices, although they don’t look quite as premium. Their bezels are larger all around, and the same goes for the notches. The back camera modules are a bit different as well, as you can see in the images below.

The folks at 91Mobiles managed to obtain hands-on images of the Moto G7 (see below), though it’s worth noting the device in the photo looks more like the bigger Moto G7 Plus — check out the flash module at the back and compare it with the render above. Regardless, the images tell the same story as the render and also reveal that the device will — in addition to red — be available in black. More colors may be revealed at launch.

The Play model is rumored to cost 150 euros, while the Power variant could retail for 210 euros.

Moto G7 and G7 Plus pricing is unknown, but we expect them to cost around the same as their predecessors.

Last year’s Moto G6 retailed for $250/250 euros, while the G6 Play went for $200/200 euros. The Plus model was not released in the U.S. but it was available in Europe, where it launched with a price tag of 300 euros (~$340).

Top 10 Big Data Analytics Trends And Predictions To Watch For In 2023

Data Analysis Automation

Recently the automation has turned out to be highly favoured technology almost across every industry to enhance business potentials. Not much to the surprise, we can expect 40 percent of database work to get automated by next year. Hopefully, automation will also assist business leaders to efficiently see further ahead to assist in propelling their organization with the appropriate analytics to drive decisions.

IoT Merged with Data Analytics

By the year 2023, we can expect to witness 20 billion active IoT devices which will subsequently collect more data for analysis. In big tech organization where IoT devices have already been embraced in big operations, the leaders are seeing beyond it to also implement the assisting technology to run capable data analytics. Therefore, we are likely to acknowledge more analytics solutions for IoT devices to provide relevant data along with transparency. Additionally, around 75 percent of companies might suffer while accomplishing matured benefits of IoT due to lack of data science professionals.

In-Memory Computing

In 2023, in-memory computing is likely to get highly influential since the reduction in the cost of memory resulted in turning IMC more mainstream. Being a mainstream technology, IMC can be a great solution for a varied range of benefits in the analysis. The latest persistent-memory technologies have led to a reduction in cost and complexity of IMC. Persistent-memory tech is a new memory tier well situated between NAND flash memory and dynamic access memory. As the wide scale implementation of IMC solution is manageable, several industries are adopting in-memory computing to help improve application performance while providing a great opportunity for future scalability.

Data-As- A-Service

Expectedly, up to 90 percent of big organizations will be generating some kind of revenue from DaaS (Data-As-A-Service) in 2023. It is a cloud-based technology that enables customers to access digital files using the internet. With high accessibility, the globalization of this technology will also support bridging gaps between departments within the larger organizations who require sharing data but currently can’t do so. Sharing data in real-time will be quicker and easier through DaaS. It will also improve productivity within the organization.

Augmented Analytics

Augmented analytics is about to become dominant in the coming years. The technology has shaken up the industry by merging AI and ML techniques to create fresh ways of creating, developing, sharing and consuming analytics. It is no at all surprising that

Smart Cities Development

IoT is creating new opportunities for data science and analytics. The development of Smart Cities has mandated the need for data collection as well as data processing and dissemination. Possibly, smart cities data will assist with medical nursing and proactive health care. It has been predicted that by 2023, 30 percent of the smart cities will have introduced robotics and smart machines at the medical facility. The technology can be leveraged to provide a good user experience to residents.

Consumer Device Developments

The current trends with personal devices, mobile and web use showcase the possibility that by 2023 more than 50 percent of consumer mobile interactions will be experiences comprehended at contextualized and hyperpersonal that is determined by the user’s past and real-time mobile behavior. As mobile devices are being used in a variety of settings from at home to at work and many other places, and the development of all kinds of new products like IoT, wearables and immersive technologies like virtual reality.

Enterprise Content Management

The disruptive technologies are gradually taking over the tasks of humans with 95 percent of image and video content which expected to be audited by machines by 2023. The ECM market is expected to hit $59.87 billion by 2023. Also, the 95 percent of content reviewed by machines is likely to never be viewed by humans rather the machines vetting content will provide detailed analyses in the capacity of supporting organizations’ digital initiatives. Subsequently, IT departments can leverage such analyses to enhance productivity and welcome new opportunities in mobile, social and cloud technologies.

ML And Cloud

As cloud storage has already become quite a popular means of safely storing digital files, currently, 30 percent of cloud vendors are using third-party solutions in the form of infrastructure as a service (IaaS) in place of running their infrastructure. The process is predicted to rise to 60 percent in the next 3 years. Also, projections for 2023 state that the hyper-scale cloud providers including Microsoft, Apple and Google will be making use of cloud-based machine learning to gain a 20 percent share of the market in platforms for data science.

Conversational Analytics and NLP

The futuristic trends for 2023 say that up to 50 percent of analytical queries will be either automatically generated or generated using voice or NLP technology provided that analytics tools should be easy to use and access. This development will allow anyone in a company to analyze complex data combinations using a widely adopted and user-friendly analytics platform.

Big Data Analytics is astonishingly transforming the industries and organization today. The technology has made a huge shift where businesses are adapting it to go beyond the traditional ways of analysis. The strength of data analytics is positively embraced by enterprises across the globe. It is making some remarkable changes in the decision-making landscape for branding and recruitment. Till now, we have seen big data analytics making a massive shift in how business is being done but it would be exciting to see what the technology holds for us in the coming year. Therefore, let’s have a look at top data analytics trends and predictions to watch for 2023.Recently the automation has turned out to be highly favoured technology almost across every industry to enhance business potentials. Not much to the surprise, we can expect 40 percent of database work to get automated by next year. Hopefully, automation will also assist business leaders to efficiently see further ahead to assist in propelling their organization with the appropriate analytics to drive chúng tôi the year 2023, we can expect to witness 20 billion active IoT devices which will subsequently collect more data for analysis. In big tech organization where IoT devices have already been embraced in big operations, the leaders are seeing beyond it to also implement the assisting technology to run capable data analytics. Therefore, we are likely to acknowledge more analytics solutions for IoT devices to provide relevant data along with transparency. Additionally, around 75 percent of companies might suffer while accomplishing matured benefits of IoT due to lack of data science chúng tôi 2023, in-memory computing is likely to get highly influential since the reduction in the cost of memory resulted in turning IMC more mainstream. Being a mainstream technology, IMC can be a great solution for a varied range of benefits in the analysis. The latest persistent-memory technologies have led to a reduction in cost and complexity of IMC. Persistent-memory tech is a new memory tier well situated between NAND flash memory and dynamic access memory. As the wide scale implementation of IMC solution is manageable, several industries are adopting in-memory computing to help improve application performance while providing a great opportunity for future scalability.Expectedly, up to 90 percent of big organizations will be generating some kind of revenue from DaaS (Data-As-A-Service) in 2023. It is a cloud-based technology that enables customers to access digital files using the internet. With high accessibility, the globalization of this technology will also support bridging gaps between departments within the larger organizations who require sharing data but currently can’t do so. Sharing data in real-time will be quicker and easier through DaaS. It will also improve productivity within the organization.Augmented analytics is about to become dominant in the coming years. The technology has shaken up the industry by merging AI and ML techniques to create fresh ways of creating, developing, sharing and consuming analytics. It is no at all surprising that augmented analytics have already become the most popular technology to use for business analytics. The benefits of augmented analytics include– 1. ability to automate many analytics capabilities like preparation, analysis 2. building of models, as well as the insights generated, will be much easier with which to chúng tôi is creating new opportunities for data science and analytics. The development of Smart Cities has mandated the need for data collection as well as data processing and dissemination. Possibly, smart cities data will assist with medical nursing and proactive health care. It has been predicted that by 2023, 30 percent of the smart cities will have introduced robotics and smart machines at the medical facility. The technology can be leveraged to provide a good user experience to chúng tôi current trends with personal devices, mobile and web use showcase the possibility that by 2023 more than 50 percent of consumer mobile interactions will be experiences comprehended at contextualized and hyperpersonal that is determined by the user’s past and real-time mobile behavior. As mobile devices are being used in a variety of settings from at home to at work and many other places, and the development of all kinds of new products like IoT, wearables and immersive technologies like virtual chúng tôi disruptive technologies are gradually taking over the tasks of humans with 95 percent of image and video content which expected to be audited by machines by 2023. The ECM market is expected to hit $59.87 billion by 2023. Also, the 95 percent of content reviewed by machines is likely to never be viewed by humans rather the machines vetting content will provide detailed analyses in the capacity of supporting organizations’ digital initiatives. Subsequently, IT departments can leverage such analyses to enhance productivity and welcome new opportunities in mobile, social and cloud chúng tôi cloud storage has already become quite a popular means of safely storing digital files, currently, 30 percent of cloud vendors are using third-party solutions in the form of infrastructure as a service (IaaS) in place of running their infrastructure. The process is predicted to rise to 60 percent in the next 3 years. Also, projections for 2023 state that the hyper-scale cloud providers including Microsoft, Apple and Google will be making use of cloud-based machine learning to gain a 20 percent share of the market in platforms for data chúng tôi futuristic trends for 2023 say that up to 50 percent of analytical queries will be either automatically generated or generated using voice or NLP technology provided that analytics tools should be easy to use and access. This development will allow anyone in a company to analyze complex data combinations using a widely adopted and user-friendly analytics platform. Well, the predictions and futuristic trends for 2023 are leading the development of the Big Data Analytics world. Data and analytics platforms’ offerings are extremely influenced by such predictions and technology providers of these solutions will be leveraging changes based on the current forecasts.

Top 10 Certification In Business Data Analytics (Cbda) Courses

Take a deeper dive into the domain of business data analytics with these top 10 certification courses

In the data-driven economy, providing value means being able to translate data rapidly into value-added information. Business

data analytics

is a practice by which a specific set of techniques, competencies, and procedures are applied to perform the continuous exploration, iteration, and investigation of past and current business data, to obtain insights about a business that can lead to improved decision-making. The role of a Business

data analytics

professional is strategic. They do not only focus their work on detecting insights and analyzing hypotheses. Besides projecting scenarios, this professional supports decisions focusing on the business goals.

When it comes to buzzwords used by businesses,

analytics

has got to be at the top of the most-used list.

Data Analytics

for, businesses are all about changing uncooked statistics and studying them with the purpose to set destiny traits and styles, which makes it positive for enterprise officers to have interaction with their enterprise operations innovatively. Here we have listed the top 10

certifications in business data analytics courses

The program led by the IIT Madras faculty aims at helping learners develop strong skillset including descriptive statistics, probability distributions, predictive modeling, Time Series forecasting, Data Architecture strategies, Business Analytics, and other skills to excel in this field.

In this course, Certification in Business Data Analytics (IIBA®- CBDA), you’ll learn what business data analytics is. First, you’ll explore the importance, value, and perspectives of business data analytics. You’ll learn how to differentiate business data analytics from business analysis and how the two are complementary skill sets. When you’re finished with this course, you’ll have the skills and knowledge of business data analytics needed to begin your business data analytics work.

This course will explain how to prepare for a data analytics project, how to organize the analytics process, and what to consider to make sure the results of your analysis will drive noticeable business change. You need to have the technical skills to collect and analyze it, but you also need to have the organizational skills to know when to do it and how to interpret the results to drive better decisions.

This new Certification in Business Data Analytics (IIBA – CBDA) provides an endorsement of your ability to accomplish end-to-end business analytics initiatives using data for informed decision-making. This certification will empower you not only to perform the Business Analyst’s role but also to work on end-to-end projects with data scientist professionals in Data Analytics/Business Intelligence Projects.

Earning this certification informs employers of your passion and competencies in performing business analysis on analytics initiatives. The certification helps identify skilled business data analytics professionals for organizations seeking these in-demand skills.

With this course, you will learn Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Predictive Modeling, Business Problem Solving, etc. On successful completion of the Program, you receive a verified certificate from the University of Maryland’s Robert H. Smith School of Business.

This Data Analytics program is ideal for all working professionals and prior programming knowledge is not required. It covers job-critical topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

The PMI Professional in Business Analysis (PBA) certification is designed for business analysts who work with projects or programs, or project and program managers who work with analytics. It’s offered through the Project Management Institute, which specializes in widely recognized project management certifications, such as the PMP. The certification focuses on business analysis training through hands-on projects and testing on business analysis principles, tools, and fundamentals.

Top 10 Worst Data Breaches In 2023

#1. Facebook, Instagram & LinkedIn

Another data breach on social media. This time, Socialarks, a Chinese social media management firm, experienced a data breach through an unprotected database, exposing the account information and personal information of at least 214 million people on social media. Many high-profile celebs and social media influencers were among the 400GB of personal data leaked. Users’ names, mobile numbers, email accounts, profile links, logins, profile pictures, profile detail, follower and interaction logistics, location, messaging ID, website URL, job specification, LinkedIn profile URL, linked social media account user account names, and company name are among the data exposed by each platform.

#2. Volkswagen & Audi

In June, a 3rd party marketing services provider revealed the PII of 3.3 million Volkswagen and Audi consumers in the United States and Canada. Names, postal addresses, email accounts, mobile numbers, and information regarding automobiles purchased, leased, or enquired about, containing vehicle reference numbers, makes, types, years, colors, and trim packages, were among the most exposed data. More personal information, including driver’s licence numbers and a limited number of dates of birth, social welfare or social insurance information, account or loan figures, and tax id numbers, was exposed for 90,000 people in the United States.

#3. Android

Android was victimized by enemies in the month of May. Due to numerous configuration errors of cloud services, security experts revealed that the personal information of over 100 million people on the mobile platform had been exposed. The information was discovered in 23 apps’ unsecured real-time databases, with download numbers ranging from 10,000 to 10 million. The finding indicated that some Android developers do not adhere to fundamental security standards when it comes to limiting access to the app’s data.

#4. Microsoft

Microsoft said on March 2nd that it had been the target of a state-sponsored cyber-attack by the Chinese hacker organization Hafnium. More than 30,000 organizations in the United States were impacted by the assault, including local governments and federal agencies. This is the eighth time a government-led cyber-attack has targeted civic groups and companies. According to Microsoft, the organization “mainly targets companies in the United States for the goal of exfiltrating data from a large number of industries,” was revealed last year.

#5. LinkedIn

LinkedIn was hit with a government investigation in June when data on 700 million of its members was scraped and shared online. Before it was revealed by news site Privacy Sharks, who notified LinkedIn after confirming a sample of 1 million records, a member on database trading marketplace RaidForums put the data ready to sell. “This was not a LinkedIn unauthorized access, and our review has found that no private LinkedIn user data was revealed,” LinkedIn said in a statement. But this isn’t the first time something like this has happened. In April, data from 500 million LinkedIn members were exposed, despite the social media giant claiming that all of the information was available publicly and the result of scraping bots.

#6. Mimecast

A Mimecast document used to verify the cloud-based email marketing service’s Sync and Recover, Endurance Monitor, and Internal Email Protect (IEP) products to Office365 Exchange online services was hacked by a skilled cybercriminal at the beginning of the year. According to the firm, Microsoft notified it of the intrusion, and about 10% of its clients utilized the exposed connection before being prompted to reinstall a newly issued license.

#7. Pixlr

A hacker also stole a database comprising 1.9-million-member records from Pixlr, a free web photo-editing program, in January. The database was taken around the same time as another stock picture site, 123RF, was hacked, exposing over 83-million-member records. Email addresses, names, password hashes, user nationality, and newsletter subscription information are among the details that have been stolen.

#8. Reverb

After being dumped into the dark web in April, a database including the personal information of over 5.6 million members of the mainstream music instruments web marketplace Reverb was found. Real names, email accounts, geographical addresses, contact information, order count, PayPal account emails, and IP addresses were all included in the database. After the data was found by a researcher and the discovery publicized on Twitter, Reverb customers started getting data breach alerts saying that user information had been compromised.

#9. Accellion

Accellion, a supplier of file transfer and collaboration tools, released four fixes in January to address weaknesses used by malicious attackers to attack clients via their File Transfer Appliance service. Unfortunately, ransomware organization Clop and financial crime group FIN11 leveraged the vulnerabilities before 17 consumers could apply the patch, gaining access to client data. The US Department of Health and Human Services, as well as the University of California, were among the clients that were affected. This happened a month after Accellion identified a zero-day weakness in the same service and published a patch to remedy it.

#10. MeetMindful

MeetMindful’s internet dating service was compromised in January, and a 1.2GB file containing personally identifiable information (PII) from 2.28 million members was released on a well-known hacker site. According to the company’s research, the incident only impacted customers who established or modified their accounts before March 2023. Names, email accounts, geographical information, dating interests, marital status, dates of birth, IP addresses, Bcrypt-hashed password hashes, Facebook usernames and passwords, and Facebook login tokens were among the information stolen.

Conclusion

It’s no surprise that Covid-19 has increased the number of cyber-attacks and data breaches that have been reported throughout the world. The ICCC received almost 800,000 cybercrime reports in 2023, as per the FBI’s 2023 Internet Crime Crime Report, with claimed damages surpassing $4.1 billion. Thanks to modern technologies such as MI, AI, and 5G, threats have grown in intelligence and speed, in addition to a rise in the number of assaults and data leaks. Let’s take a glance at 10 of the worst data breaches observed throughout the world so far this year.Another data breach on social media. This time, Socialarks, a Chinese social media management firm, experienced a data breach through an unprotected database, exposing the account information and personal information of at least 214 million people on social media. Many high-profile celebs and social media influencers were among the 400GB of personal data leaked. Users’ names, mobile numbers, email accounts, profile links, logins, profile pictures, profile detail, follower and interaction logistics, location, messaging ID, website URL, job specification, LinkedIn profile URL, linked social media account user account names, and company name are among the data exposed by each chúng tôi June, a 3rd party marketing services provider revealed the PII of 3.3 million Volkswagen and Audi consumers in the United States and Canada. Names, postal addresses, email accounts, mobile numbers, and information regarding automobiles purchased, leased, or enquired about, containing vehicle reference numbers, makes, types, years, colors, and trim packages, were among the most exposed data. More personal information, including driver’s licence numbers and a limited number of dates of birth, social welfare or social insurance information, account or loan figures, and tax id numbers, was exposed for 90,000 people in the United States.Android was victimized by enemies in the month of May. Due to numerous configuration errors of cloud services, security experts revealed that the personal information of over 100 million people on the mobile platform had been exposed. The information was discovered in 23 apps’ unsecured real-time databases, with download numbers ranging from 10,000 to 10 million. The finding indicated that some Android developers do not adhere to fundamental security standards when it comes to limiting access to the app’s data.Microsoft said on March 2nd that it had been the target of a state-sponsored cyber-attack by the Chinese hacker organization Hafnium. More than 30,000 organizations in the United States were impacted by the assault, including local governments and federal agencies. This is the eighth time a government-led cyber-attack has targeted civic groups and companies. According to Microsoft, the organization “mainly targets companies in the United States for the goal of exfiltrating data from a large number of industries,” was revealed last year.LinkedIn was hit with a government investigation in June when data on 700 million of its members was scraped and shared online. Before it was revealed by news site Privacy Sharks, who notified LinkedIn after confirming a sample of 1 million records, a member on database trading marketplace RaidForums put the data ready to sell. “This was not a LinkedIn unauthorized access, and our review has found that no private LinkedIn user data was revealed,” LinkedIn said in a statement. But this isn’t the first time something like this has happened. In April, data from 500 million LinkedIn members were exposed, despite the social media giant claiming that all of the information was available publicly and the result of scraping bots.A Mimecast document used to verify the cloud-based email marketing service’s Sync and Recover, Endurance Monitor, and Internal Email Protect (IEP) products to Office365 Exchange online services was hacked by a skilled cybercriminal at the beginning of the year. According to the firm, Microsoft notified it of the intrusion, and about 10% of its clients utilized the exposed connection before being prompted to reinstall a newly issued license.A hacker also stole a database comprising 1.9-million-member records from Pixlr, a free web photo-editing program, in January. The database was taken around the same time as another stock picture site, 123RF, was hacked, exposing over 83-million-member records. Email addresses, names, password hashes, user nationality, and newsletter subscription information are among the details that have been stolen.After being dumped into the dark web in April, a database including the personal information of over 5.6 million members of the mainstream music instruments web marketplace Reverb was found. Real names, email accounts, geographical addresses, contact information, order count, PayPal account emails, and IP addresses were all included in the database. After the data was found by a researcher and the discovery publicized on Twitter, Reverb customers started getting data breach alerts saying that user information had been compromised.Accellion, a supplier of file transfer and collaboration tools, released four fixes in January to address weaknesses used by malicious attackers to attack clients via their File Transfer Appliance service. Unfortunately, ransomware organization Clop and financial crime group FIN11 leveraged the vulnerabilities before 17 consumers could apply the patch, gaining access to client data. The US Department of Health and Human Services, as well as the University of California, were among the clients that were affected. This happened a month after Accellion identified a zero-day weakness in the same service and published a patch to remedy it.MeetMindful’s internet dating service was compromised in January, and a 1.2GB file containing personally identifiable information (PII) from 2.28 million members was released on a well-known hacker site. According to the company’s research, the incident only impacted customers who established or modified their accounts before March 2023. Names, email accounts, geographical information, dating interests, marital status, dates of birth, IP addresses, Bcrypt-hashed password hashes, Facebook usernames and passwords, and Facebook login tokens were among the information chúng tôi breaches are a question of when, not if, as is frequently the case. Staying one point ahead of attackers requires ensuring the security of your consumer data. Businesses must safeguard user information and safeguard company data to avert social media data breaches. Along with improving employee awareness and updating rules on a regular basis, effective training and technology may help decrease the probability of a data breach.

Top 10 Business Analytics Master’s Degree For 2023

Here is the list of top 10 business analytics master’s degree courses for you for 2023 1. MBA by Massachusetts Institute of Technology (Sloan)

Duration: 1 Year

Fee: US$137,265

Enrollment Type: Full-time

In just 12 months, the MIT Sloan Master of Business Analytics program prepares students for careers that apply and manage modern data science to solve critical business challenges. By the end of the 12-month program, you will have completed anywhere from 111 to 141 units of classwork. MBA students can take up to 66 units per term, with a maximum of 54 units from MIT Sloan courses. The program answers the industry’s demand for a skilled pool of graduates who can apply data science to solve business challenges. MIT offers an analytics degree at the undergraduate, graduate, and doctoral levels.

Enroll Here.

2. chúng tôi in Business Analytics by Carnegie Mellon University (Tepper)

Duration: 9-Months

Fee: US$34,706

Enrollment Type: Full-time

The Tepper Full-Time Master of Science in Business Analytics (MSBA) is a STEM-designated program created for recent college graduates who want to deepen their analytical skills and move into sought-after business analyst positions. Through this new 9-month program on Carnegie Mellon’s future-focused campus, Tepper MSBA students learn how to solve tough business challenges by harnessing emerging technologies and using data creatively to inspire better solutions. Equipped with a full range of state-of-the-art business analytics techniques, Tepper MSBA graduates tell stories through and extract insights from data.

Enroll Here.

3. chúng tôi in Analytics by Georgia Institute of Technology (Scheller)

Duration: 1 Year

Fee: Georgia Residents: US$41,800

Students Out of State: US$56,000

Enrollment Type: Full-time

The Master of Science in Analytics is an interdisciplinary analytics and data science program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business by combining the world-class expertise of the Scheller College of Business, the College of Computing, and the College of Engineering. By blending the strengths of these nationally ranked programs, graduates will learn to integrate skills in a unique and interdisciplinary way that yields deep insights into analytics problems.

Enroll Here.

4. MBA from the University of Pennsylvania (Wharton)

Duration: 2 Years

Fee: US$83,230

Enrollment Type: Full-time

This Business Analytics MBA major is designed to build deep competency in the skills needed to implement and oversee data-driven business decisions, including collecting, managing, and describing datasets, forming inferences and predictions from data, and making optimal and robust decisions. Business analytics makes extensive use of statistical analysis and the course teaches about the applications of business analytics spanning a variety of functional areas.

Enroll Here.

5. chúng tôi in Business Analytics by New York University (Stern)

Duration: 1 Year

Fee: US$85,500

Enrollment Type: Full-time

Graduates of this program will be equipped to influence decision-making and strategy, and they will ultimately drive better business results by gaining the ability to transform data into a powerful and predictive strategic asset. Business Analytics is critical in preparing organizations to solve 21st-century business challenges and participants of this program will have exposure to innovative methodologies that support data-driven decision-making.

Enroll Here.

6. MSc in Business Analytics by Pepperdine University

Duration: 1 Year

Fee: US$30,695 per term

Enrollment Type: Full-time

Starting every fall and spring term, the one-year, full-time Pepperdine Master’s in Business Analytics (MSBA) program will tackle some of the most pressing challenges facing businesses today from both the decision-sciences and information-systems perspective. With a focus on predictive analytics, risk management, optimization modeling, and information technology, this program is designed for students seeking an analytical career in evidence-based organizations that rely on big data.

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7. MSc in Business Analytics by Syracuse University

Duration: 2 Years

Fee: US$1,734 per credit hour

Enrollment Type: Full-time

Utilizing an action-oriented approach, the STEM-designated Whitman School M.S. in business analytics is designed to prepare you with the skills to become a data-driven business leader and decision-maker. You will complete 36 credit hours of courses that develop an interdisciplinary understanding of the applications of analytics to the fields of accounting, finance, marketing, and supply chain management by using techniques for data collection, data visualization, statistical and pattern analysis, and data mining.

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8. Master of Business Analytics by the University of Dayton

Duration: 12 Months

Fee: US$1,430 per credit hour

Enrollment Type: Full-time

The Master of Business Analytics (MBAN) program at the University of Dayton is for students interested in moving into this high-demand career area. Business Analytics represents a global growing need with employment opportunities readily available. Businesses and governments depend on the effective use of data through sophisticated analytical techniques. The program can be completed in as little as 12 months. The curriculum provides intensive analytics coursework as well as a broad view of the analytics professional role.

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9. MSc in Business Analytics by American University

Duration: 12-24 Months

Fee: US$61,578 (Depends on the Enrollment Type)

Enrollment Type: Both Part-time and Full-time Courses are Available

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10. MBA by the University of California, Berkeley (Haas)

Duration: 15 Months

Fee: US$66,709

Enrollment Type: Full-time

This STEM-certified MSBA program is a 15-month on-campus experience that will give the students a deep understanding of the tools to harness the power of data to gain insights and tell data stories that drive strategic business decisions. After completion of this program, the students will become invaluable assets to the industry, quite early in their careers. And since these MSBA graduates will have such a critical influence on business strategy and decisions in the future, the university also makes sure they are trained to achieve ethical outcomes.

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