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5 Types of Business Analysts That IT Entrepreneurs Should Know

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Opinions expressed by Entrepreneur contributors are their own.

An analyst is a role that will appear every time a company or project is growing. Maybe not from the very beginning, but at a certain moment for sure. As you get bigger, one day you will need someone who is fully focused on collecting requirements and statistics, analyzing them and explaining them. It can happen naturally, with one person accepting the task, or you might hire someone specifically for the job. I find that the second option is preferable: The person will be more qualified and experienced, and will not make obvious and avoidable mistakes.

Here are some signs that your company currently lacks an analyst and needs one:

  • The team does not have a complete understanding of the product, industry or project
  • Many requirements are missed in the process
  • There is no clear understanding of what you are doing and why
  • The “I feel like it” mindset is dominant

All in all, analytics currently are needed in all areas of modern business — from marketing, finance and sales to software development and implementation. There are many types of analysts on the market, and it is possible to choose someone who fits you perfectly, depending on their skills, interests or background. 

Here are five different types of analysts you should know, especially in the IT world.

Type 1: Requirements analyst

There is a fundamental manual, an encyclopedia and a set of rules for business analysis. It is called BABOK (Business Analysis Body of Knowledge). This book was developed by the International Institute of Business Analysis. All business analysts rely on it.

In summary, a business analyst is a person who performs the tasks described in the BABOK manual, regardless of their position or organizational role. This person is responsible for discovering, summarizing and analyzing information from various sources within the company.

Simply put, a business analyst is a person who is a kind of bridge between the business world and the development team. Their main goal is to collect and identify product requirements, document them and translate them into a language that the development team clearly understands.

The requirements analyst should know:

  • project development methodology

  • methods of writing technical documentation

  • classification of requirements

  • requirements management methods

I highly recommend reading Karl Wiegers’s Software Requirements. It is pretty much mandatory for all analysts of this type.

Related: Top 5 Business Analysis Certification Courses

Type 2: System analyst

The system analyst is focused on analyzing the needs of users. Their responsibilities often include organizing and supervising the implementation of additional functions into an existing information system or the development of the system itself. The latter includes a set of various components and services focused on automating internal processes and, as a result, increasing the efficiency of the business.

In my opinion, a systems analyst can be characterized as a “task manager”. Although it is rather difficult to talk about something specific: the activities of these specialists are very different, the boundaries are very blurred and differ depending on the organization and project.

The systems analyst should:

  • have a technical education and understand technology

  • know the basics of programming (including object-oriented), design, development and software documentation

  • have systemic thinking and an analytical mindset

  • know IDEF0 ‚IDEF1X and EPC notations

  • be able to write SQL queries and work with a database

  • quickly understand the requirements and determine their priority, as well as talk about technical solutions and their impact on the business in a language understandable to the client

Type 3: UX analyst

The UX analyst, or user interface/user experience analyst, is a relatively new profession. Their main goal is to improve the interface in such a way that it is intuitive and user-friendly.

UX analysts put themselves in the user’s shoes and figure out exactly how the interface should work. Such a specialist must know the field of the psychology of human behavior and understand the tools that allow them to analyze it (for example, Google Analytics, Woopra, Clicky, Keen and Mouseflow). They should be a very logical person with an ability to interpret rather vague and unclear data.

A UX analyst should be able to:

  • collect data and analyze it

  • make recommendations for product developments based on the data received

  • qualitatively and reasonably present their decisions

  • be able to design an interface and understand how to make adjustments to it

  • ideally, have experience in marketing

Related: Why User Experience Is Vital for Quality SEO

Type 4: Integration analyst

The integration analyst is a role for large projects in which it is necessary to develop software with the ability to exchange data with other information systems. Sometimes they are also used when there is a need to connect an additional service to an existing information system. They solve many different issues related to integration and analytics.

An integration analyst is responsible for connecting different subsystems/services into a single whole system. They are usually receiving requirements from a business analyst or systems analyst. They understand the processes of exchanging information between systems, and, together with the architect or developers, work on smooth and proper connection. Most often this results in creating mapping tables of one information object and converting the format to another.

An integration analyst should:

  • be able to analyze business processes

  • understand the XML markup language

  • be able to develop XSD

  • be able to read and develop an API description

  • be able to work with testing / debugging tools for web services (Postman, SoapUI, and so on)

  • understand the principles of REST and SOAP

  • know the basics of SQL and be able to write queries

  • have experience in the development of technical documentation

  • have experience with Jira / Confluence

  • know BPMN and UML notations and have experience in creating diagrams using them

Type 5: Data analyst

A data analyst must be able to collect, structure, store and transform large amounts of data. Data analysts then present this data in a form that is convenient and understandable to the customer. Such analysts are also called mathematicians-programmers, information analysts and sometimes business analysts, but with the skills of working with Big Data. The quality work of these specialists is based on their knowledge in the field of mathematical statistics, data analysis algorithms and mathematical modeling.

Such specialists are needed by companies that need to manage customer demand. I usually lease data analysts to large ecommerce projects or banks.

The data analyst should know:

  • tools for accessing and processing data, like spreadsheets (SQL, DBMS, data warehouses, ETL)

  • programming languages: R, SAS, C ++, Python

  • BI analytics, data analytics, and data science

  • statistics and mathematics (mathematical logic, linear algebra, probability theory)

  • machine and deep learning — they should be able to set up or train a neural network from scratch

  • Data engineering — how to properly organize receiving, storing and allowing access to important information.

Related: Everything You Should Know About 21st Century’s Most Sexiest Job Profile – Data Scientist

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With Pickme, your neighbor can receive your packages for you • TechCrunch

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French startup Pickme has raised a $3.7 million (€3.5 million) funding round to build a new network of pick-up and drop-off points for e-commerce retailers and logistics companies. With Pickme, a customer can order something and let their neighbor receive the package directly. It’s something that many people already do, but with a more formal relationship. Customers can then collect the package later when they have time.

OneRagtime is leading the funding round with Founders Future, FrenchFounders, Kima Ventures and several business angels participating.

If you’re usually not a home during the day, chances are you get a lot of missed delivery notifications. That’s why many people choose to receive their packages to a pick-up point near their home.

Pick-up points tend to be regular stores that want to increase their revenue by becoming tiny logistics hubs. Popular pick-up point carriers in France include Mondial Relay, Relais Colis and La Poste’s Pickup division. Some of them also operate automated lockers.

These networks have been thriving for several reasons. In addition to a growing volume of online orders, peer-to-peer marketplaces like Vinted, eBay and Leboncoin have also been doing well.

Pick-up locations can also act as drop-off points. Delivery persons can collect outgoing packages as they hand off some packages. As a bonus, using pick-up points reduces CO2 emissions as delivery trips are shorter and more efficient.

Pickme wants to offer a third way. Instead of choosing between home delivery and a regular pick-up point, they could choose to get their packages delivered to their neighbor’s home.

So far, 96,000 people have created a Pickme account and the startup has signed partnerships with DHL, GLS, Colissimo and Geodis. Individuals decide when they are at home so that they can handle packages. They can also define a maximum limit of packages depending on the size of their home — for example, it can be 25 packages or 50 packages.

When a customer collects a package, the neighbor receives a bit of money (less than €1 per package). Right now, Pickme processes 30,000 packages per month. It competes with Welco, another startup with a similar positioning.

In dense urban areas, there are already plenty of retail stores that act as pick-up points. But startups like Pickme and Welco could be more useful in rural areas where there are fewer shops. Right now, 30% of Pickme’s network members live in rural areas.

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Down rounds are still rare by historical standards • TechCrunch

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If you thought that the recent venture capital market was tough, let me tell you about 2016, 2017, 2018, 2019 and 2020.

With the first week of December under our belts, we’re not too far away from the end of the year. And that means that 2022’s venture capital story has largely been written. It’s not a single narrative; instead, this year started on a high, with momentum from the monstrous 2021 funding period persisting into the new year. From that point, we’ve seen a slowdown accelerate into what some consider a downturn.


The Exchange explores startups, markets and money.

Read it every morning on TechCrunch+ or get The Exchange newsletter every Saturday.


Startups raised lots of capital this year. Less, yes, than last year, but more than in nearly any year in recent memory. It’s still a good time to build a tech upstart.

Does that perspective feel too sunny when we hear so much doom and gloom on Twitter regarding startup prospects in a more conservative investing climate?

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Howie Mandel gets a digital twin from DeepBrain AI

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Howie Mandel is stepping into the metaverse. DeepBrain AI has created a pretty realistic AI version of comedian and actor Mandel.

Deepbrain AI, based in South Korea and Palo Alto, California, calls its creation “AI Howie,” and it’s an interactive virtual human and digital twin for immersive and personalized fan experiences. AI Howie mentions VentureBeat and talks to me in the attached videos.

Unlike the “deepfakes” of Tom Cruise and other actors, the real Howie Mandel cooperated with DeepBrain AI to create the virtual human AI replica of the famous comedian, actor, host, and technology enthusiast. We used “virtual Paris” AI character at our recent MetaBeat event in San Francisco.

“I am equally thrilled, excited, and terrified to finally have the ability of showing up and doing things without going anywhere or doing anything,” said Mandel, in a statement. “Thank you, DeepBrain.”

DeepBrain AI applies deep learning technology to create hyper-realistic virtual humans through its AI Studios and the AI Human platforms. These virtual humans are digital twins of the real person, with the same appearance, voice, gestures, and subtle mannerisms. The AI Studios platform enables script-to-video software that synthesizes dynamic video content in seconds, producing the quickest and most
realistic AI-generated videos. The script-to-video editor makes it easy for customers to select a model and then make it say something based on a script. Within a minute or so the video is made.

This is a powerful communication and marketing tool for celebrities, professional athletes, news anchors, and even politicians. Before working with Howie Mandel, the DeepBrain AI team created digital twins of Premier League soccer superstar Son Heung-Min, multiple news anchors across Asia, and South Korean president Yoon Suk-yeol.

Joe Murphy, business development manager for DeepBrain AI, said in an interview with VentureBeat that the virtual Howie is a conversational model that you pepper with questions. DeepBrain AI designs and develops these virtual humans for the purpose of creating digital twins (like Howie Mandel), digital people, and avatars.

It takes about four weeks of machine learning work to create a Howie Mandel digital twin.

“We create models of real people,” Murphy said. “We also have completely synthetic virtual humans. That is what we’ll call digital people. And then avatars are just the basic Roblox type of avatars. But where our technology comes in with the digital twins is we go through a deep learning process to clone the person’s voice, their mannerisms, their face, the way their eyes move, the way their lips move.”

He added, “So we create what we call the digital twin of the real person with all the uniqueness of that person. Our mission is to use this technology that we’ve developed throughout Asia and bring it to America.”

In addition to the script-to-video capabilities, the company provides fully conversational experiences with its AI Human software. The AI Human solution enables fans to interact and engage with AI Howie by simply asking questions. For example, when asked, “What was your favorite act on AGT this season?” the AI Howie model responds in real-time to support interactive, fun, and engaging fan experiences.

AI Humans are available within mobile apps, web browsers, or voice-activated kiosks.

“Our vision is to humanize digital experiences and empower creative teams to generate immersive content at scale,” said Eric Jang, DeepBrain AI CEO. “Working with Howie Mandel was a fun experience, and we are excited to see how the AI Howie collaboration will connect with his fans worldwide.”

DeepBrain AI, (formerly Moneybrain), a conversational AI startup based in Seoul, South Korea, has raised $44 million in a series B round led by Korea Development Bank at a post-money valuation of $180 million. The company started in 2016 and it has raised $54 million to date. The company has 130 employees.

The AI is being used for AI news anchors in South Korea and China at four different television networks. The networks flag that the anchor is an AI avatar so that no one gets confused.

The real Howie Mandel spent about a day shooting video with DeepBrain AI.

While multiple companies are working on virtual humans, DeepBrain AI’s avatars are hyperrealistic. One of Asia’s largest insurance companies is also using it, as is a “brand ambassador” for a soccer team.

“When we worked with Howie Mandel, we went down to his studio in Los Angeles, we provided a script, and fed our training data into our neural network,” Murphy said.

It took about a day to do a video shoot with Mandel and about three to four weeks of machine learning time on the computers to generate the first AI model.

Back in January, DeepBrain AI opened its office in Palo Alto, California, and it is talking to partners in Silicon Valley and the rest of the U.S. Over time, Murphy said that the hope is to create AI avatars in realistic 3D for the metaverse. In South Korea, kiosks are appearing in places like banks with both 2D avatars and 3D avatars.

Over time, Murphy said the avatars have gotten better at mannerisms, lip sync, and subtle gestures. The speed of real-time responses in conversations has also gotten faster. The company is talking about doing more with game companies and major brands.

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