Business Analysis Training Classes in Victoria, Texas
Learn Business Analysis in Victoria, Texas and surrounding areas via our hands-on, expert led courses. All of our classes either are offered on an onsite, online or public instructor led basis. Here is a list of our current Business Analysis related training offerings in Victoria, Texas: Business Analysis Training
Business Analysis Training Catalog
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2 May, 2024 - 3 May, 2024 - RED HAT ENTERPRISE LINUX AUTOMATION WITH ANSIBLE
3 June, 2024 - 6 June, 2024 - RED HAT SATELLITE V6 (FOREMAN/KATELLO) ADMINISTRATION
24 June, 2024 - 27 June, 2024 - Linux Fundaments GL120
15 July, 2024 - 19 July, 2024 - Ruby Programming
29 April, 2024 - 1 May, 2024 - See our complete public course listing
Blog Entries publications that: entertain, make you think, offer insight
From Brennan's Blog which is no longer up and running:
I use Remote Desktop all the time to work inside of my development systems hosted by Microsoft Virtual Server. I use the host system to browse the web for documentation and searches as I work and when I need to copy some text from the web browser I find many times the link between the host clipboard and the remote clipboard is broken. In the past I have read that somehow the remote clipboard utility, rdpclip.exe, gets locked and no longer allows the clipboard to be relayed between the host and the client environment. My only way to deal with it was to use the internet clipboard, cl1p.net. I would create my own space and use it to send content between environments. But that is a cumbersome step if you are doing it frequently.
The only way I really knew to fix the clipboard transfer was to close my session and restart it. That meant closing the tools I was using like Visual Studio, Management Studio and the other ancillary processes I have running as I work and then restarting all of it just to restore the clipboard. But today I found a good link on the Terminal Services Blog explaining that what is really happening. The clipboard viewer chain is somehow becoming unresponsive on the local or remote system and events on the clipboards are not being relayed between systems. It is not necessarily a lock being put in place but some sort of failed data transmission. It then goes on to explain the 2 steps you can take to restore the clipboard without restarting your session.
- Use Task Manager to kill the rdpclip.exe process
- Run rdpclip.exe to restart it
The clipboard communications should be restored. My clipboard is currently working because I just restarted my session to fix it, but I wanted to test these steps. I killed rdpclip.exe and started it and was able to copy/paste from the remote to the host system. The next time my clipboard dies I will have to check to see if these steps truly do work.
Machine learning systems are equipped with artificial intelligence engines that provide these systems with the capability of learning by themselves without having to write programs to do so. They adjust and change programs as a result of being exposed to big data sets. The process of doing so is similar to the data mining concept where the data set is searched for patterns. The difference is in how those patterns are used. Data mining's purpose is to enhance human comprehension and understanding. Machine learning's algorithms purpose is to adjust some program's action without human supervision, learning from past searches and also continuously forward as it's exposed to new data.
The News Feed service in Facebook is an example, automatically personalizing a user's feed from his interaction with his or her friend's posts. The "machine" uses statistical and predictive analysis that identify interaction patterns (skipped, like, read, comment) and uses the results to adjust the News Feed output continuously without human intervention.
Impact on Existing and Emerging Markets
The NBA is using machine analytics created by a California-based startup to create predictive models that allow coaches to better discern a player's ability. Fed with many seasons of data, the machine can make predictions of a player's abilities. Players can have good days and bad days, get sick or lose motivation, but over time a good player will be good and a bad player can be spotted. By examining big data sets of individual performance over many seasons, the machine develops predictive models that feed into the coach’s decision-making process when faced with certain teams or particular situations.
General Electric, who has been around for 119 years is spending millions of dollars in artificial intelligence learning systems. Its many years of data from oil exploration and jet engine research is being fed to an IBM-developed system to reduce maintenance costs, optimize performance and anticipate breakdowns.
Over a dozen banks in Europe replaced their human-based statistical modeling processes with machines. The new engines create recommendations for low-profit customers such as retail clients, small and medium-sized companies. The lower-cost, faster results approach allows the bank to create micro-target models for forecasting service cancellations and loan defaults and then how to act under those potential situations. As a result of these new models and inputs into decision making some banks have experienced new product sales increases of 10 percent, lower capital expenses and increased collections by 20 percent.
Emerging markets and industries
By now we have seen how cell phones and emerging and developing economies go together. This relationship has generated big data sets that hold information about behaviors and mobility patterns. Machine learning examines and analyzes the data to extract information in usage patterns for these new and little understood emergent economies. Both private and public policymakers can use this information to assess technology-based programs proposed by public officials and technology companies can use it to focus on developing personalized services and investment decisions.
Machine learning service providers targeting emerging economies in this example focus on evaluating demographic and socio-economic indicators and its impact on the way people use mobile technologies. The socioeconomic status of an individual or a population can be used to understand its access and expectations on education, housing, health and vital utilities such as water and electricity. Predictive models can then be created around customer's purchasing power and marketing campaigns created to offer new products. Instead of relying exclusively on phone interviews, focus groups or other kinds of person-to-person interactions, auto-learning algorithms can also be applied to the huge amounts of data collected by other entities such as Google and Facebook.
A warning
Traditional industries trying to profit from emerging markets will see a slowdown unless they adapt to new competitive forces unleashed in part by new technologies such as artificial intelligence that offer unprecedented capabilities at a lower entry and support cost than before. But small high-tech based companies are introducing new flexible, adaptable business models more suitable to new high-risk markets. Digital platforms rely on algorithms to host at a low cost and with quality services thousands of small and mid-size enterprises in countries such as China, India, Central America and Asia. These collaborations based on new technologies and tools gives the emerging market enterprises the reach and resources needed to challenge traditional business model companies.
Another blanket article about the pros and cons of Direct to Consumer (D2C) isn’t needed, I know. By now, we all know the rules for how this model enters a market: its disruption fights any given sector’s established sales model, a fuzzy compromise is temporarily met, and the lean innovator always wins out in the end.
That’s exactly how it played out in the music industry when Apple and record companies created a digital storefront in iTunes to usher music sales into the online era. What now appears to have been a stopgap compromise, iTunes was the standard model for 5-6 years until consumers realized there was no point in purchasing and owning digital media when internet speeds increased and they could listen to it for free through a music streaming service. In 2013, streaming models are the new music consumption standard. Netflix is nearly parallel in the film and TV world, though they’ve done a better job keeping it all under one roof. Apple mastered retail sales so well that the majority of Apple products, when bought in-person, are bought at an Apple store. That’s even more impressive when you consider how few Apple stores there are in the U.S. (253) compared to big box electronics stores that sell Apple products like Best Buy (1,100) Yet while some industries have implemented a D2C approach to great success, others haven’t even dipped a toe in the D2C pool, most notably the auto industry.
What got me thinking about this topic is the recent flurry of attention Tesla Motors has received for its D2C model. It all came to a head at the beginning of July when a petition on whitehouse.gov to allow Tesla to sell directly to consumers in all 50 states reached the 100,000 signatures required for administration comment. As you might imagine, many powerful car dealership owners armed with lobbyists have made a big stink about Elon Musk, Tesla’s CEO and Product Architect, choosing to sidestep the traditional supply chain and instead opting to sell directly to their customers through their website. These dealership owners say that they’re against the idea because they want to protect consumers, but the real motive is that they want to defend their right to exist (and who wouldn’t?). They essentially have a monopoly at their position in the sales process, and they want to keep it that way. More frightening for the dealerships is the possibility that once Tesla starts selling directly to consumers, so will the big three automakers, and they fear that would be the end of the road for their business. Interestingly enough, the big three flirted with the idea of D2C in the early 90’s before they were met with fierce backlash from dealerships. I’m sure the dealership community has no interest in mounting a fight like that again.
To say that the laws preventing Tesla from selling online are peripherally relevant would be a compliment. By and large, the laws the dealerships point to fall under the umbrella of “Franchise Laws” that were put in place at the dawn of car sales to protect franchisees against manufacturers opening their own stores and undercutting the franchise that had invested so much to sell the manufacturer’s cars. There’s certainly a need for those laws to exist, because no owner of a dealership selling Jeeps wants Chrysler to open their own dealership next door and sell them for substantially less. However, because Tesla is independently owned and isn’t currently selling their cars through any third party dealership, this law doesn’t really apply to them. Until their cars are sold through independent dealerships, they’re incapable of undercutting anyone by implementing D2C structure.
Let’s face it, fad or not, companies are starting to ask themselves how they could possibly use machine learning and AI technologies in their organization. Many are being lured by the promise of profits by discovering winning patterns with algorithms that will enable solid predictions… The reality is that most technology and business professionals do not have sufficient understanding of how machine learning works and where it can be applied. For a lot of firms, the focus still tends to be on small-scale changes instead of focusing on what really matters…tackling their approach to machine learning.
In the recent Wall Street Journal article, Machine Learning at Scale Remains Elusive for Many Firms, Steven Norton captures interesting comments from the industry’s data science experts. In the article, he quotes panelists from the MIT Digital Economy Conference in NYC, on businesses current practices with AI and machine learning. All agree on the fact that, for all the talk of Machine Learning and AI’s potential in the enterprise, many firms aren’t yet equipped to take advantage of it fully.
Panelist, Michael Chui, partner at McKinsey Global Institute states that “If a company just mechanically says OK, I’ll automate this little activity here and this little activity there, rather than re-thinking the entire process and how it can be enabled by technology, they usually get very little value out of it. “Few companies have deployed these technologies in a core business process or at scale.”
Panelist, Hilary Mason, general manager at Cloudera Inc., had this to say, “With very few exceptions, every company we work with wants to start with a cost-savings application of automation.” “Most organizations are not set up to do this well.”
Tech Life in Texas
Company Name | City | Industry | Secondary Industry |
---|---|---|---|
Dr Pepper Snapple Group | Plano | Manufacturing | Nonalcoholic Beverages |
Western Refining, Inc. | El Paso | Energy and Utilities | Gasoline and Oil Refineries |
Frontier Oil Corporation | Dallas | Manufacturing | Chemicals and Petrochemicals |
ConocoPhillips | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dell Inc | Round Rock | Computers and Electronics | Computers, Parts and Repair |
Enbridge Energy Partners, L.P. | Houston | Transportation and Storage | Transportation & Storage Other |
GameStop Corp. | Grapevine | Retail | Retail Other |
Fluor Corporation | Irving | Business Services | Management Consulting |
Kimberly-Clark Corporation | Irving | Manufacturing | Paper and Paper Products |
Exxon Mobil Corporation | Irving | Energy and Utilities | Gasoline and Oil Refineries |
Plains All American Pipeline, L.P. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Cameron International Corporation | Houston | Energy and Utilities | Energy and Utilities Other |
Celanese Corporation | Irving | Manufacturing | Chemicals and Petrochemicals |
HollyFrontier Corporation | Dallas | Energy and Utilities | Gasoline and Oil Refineries |
Kinder Morgan, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Marathon Oil Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
United Services Automobile Association | San Antonio | Financial Services | Personal Financial Planning and Private Banking |
J. C. Penney Company, Inc. | Plano | Retail | Department Stores |
Energy Transfer Partners, L.P. | Dallas | Energy and Utilities | Energy and Utilities Other |
Atmos Energy Corporation | Dallas | Energy and Utilities | Alternative Energy Sources |
National Oilwell Varco Inc. | Houston | Manufacturing | Manufacturing Other |
Tesoro Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
Halliburton Company | Houston | Energy and Utilities | Energy and Utilities Other |
Flowserve Corporation | Irving | Manufacturing | Tools, Hardware and Light Machinery |
Commercial Metals Company | Irving | Manufacturing | Metals Manufacturing |
EOG Resources, Inc. | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Whole Foods Market, Inc. | Austin | Retail | Grocery and Specialty Food Stores |
Waste Management, Inc. | Houston | Energy and Utilities | Waste Management and Recycling |
CenterPoint Energy, Inc. | Houston | Energy and Utilities | Gas and Electric Utilities |
Valero Energy Corporation | San Antonio | Manufacturing | Chemicals and Petrochemicals |
FMC Technologies, Inc. | Houston | Energy and Utilities | Alternative Energy Sources |
Calpine Corporation | Houston | Energy and Utilities | Gas and Electric Utilities |
Texas Instruments Incorporated | Dallas | Computers and Electronics | Semiconductor and Microchip Manufacturing |
SYSCO Corporation | Houston | Wholesale and Distribution | Grocery and Food Wholesalers |
BNSF Railway Company | Fort Worth | Transportation and Storage | Freight Hauling (Rail and Truck) |
Affiliated Computer Services, Incorporated (ACS), a Xerox Company | Dallas | Software and Internet | E-commerce and Internet Businesses |
Tenet Healthcare Corporation | Dallas | Healthcare, Pharmaceuticals and Biotech | Hospitals |
XTO Energy Inc. | Fort Worth | Energy and Utilities | Gasoline and Oil Refineries |
Group 1 Automotive | Houston | Retail | Automobile Dealers |
ATandT | Dallas | Telecommunications | Telephone Service Providers and Carriers |
Anadarko Petroleum Corporation | Spring | Energy and Utilities | Gasoline and Oil Refineries |
Apache Corporation | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Dean Foods Company | Dallas | Manufacturing | Food and Dairy Product Manufacturing and Packaging |
American Airlines | Fort Worth | Travel, Recreation and Leisure | Passenger Airlines |
Baker Hughes Incorporated | Houston | Energy and Utilities | Gasoline and Oil Refineries |
Continental Airlines, Inc. | Houston | Travel, Recreation and Leisure | Passenger Airlines |
RadioShack Corporation | Fort Worth | Computers and Electronics | Consumer Electronics, Parts and Repair |
KBR, Inc. | Houston | Government | International Bodies and Organizations |
Spectra Energy Partners, L.P. | Houston | Energy and Utilities | Gas and Electric Utilities |
Energy Future Holdings | Dallas | Energy and Utilities | Energy and Utilities Other |
Southwest Airlines Corporation | Dallas | Transportation and Storage | Air Couriers and Cargo Services |
training details locations, tags and why hsg
The Hartmann Software Group understands these issues and addresses them and others during any training engagement. Although no IT educational institution can guarantee career or application development success, HSG can get you closer to your goals at a far faster rate than self paced learning and, arguably, than the competition. Here are the reasons why we are so successful at teaching:
- Learn from the experts.
- We have provided software development and other IT related training to many major corporations in Texas since 2002.
- Our educators have years of consulting and training experience; moreover, we require each trainer to have cross-discipline expertise i.e. be Java and .NET experts so that you get a broad understanding of how industry wide experts work and think.
- Discover tips and tricks about Business Analysis programming
- Get your questions answered by easy to follow, organized Business Analysis experts
- Get up to speed with vital Business Analysis programming tools
- Save on travel expenses by learning right from your desk or home office. Enroll in an online instructor led class. Nearly all of our classes are offered in this way.
- Prepare to hit the ground running for a new job or a new position
- See the big picture and have the instructor fill in the gaps
- We teach with sophisticated learning tools and provide excellent supporting course material
- Books and course material are provided in advance
- Get a book of your choice from the HSG Store as a gift from us when you register for a class
- Gain a lot of practical skills in a short amount of time
- We teach what we know…software
- We care…