technology:business intelligence

Fewer Dashboards, More #analysis
▻https://hackernoon.com/fewer-dashboards-more-analysis-63581970672c?source=rss----3a8144eabfe3--

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(Photo by Marek Szturc on Unsplash)It pains me to say it but Business Intelligence has gotten itself a bad rep.And we’re all partly to blame.It’s pretty clear that to most people in the data science world, BI means building endless reports and dashboards — and that’s all it’s good for.Take a look around your own workplace. I don’t care if it’s a bootstrapped start-up or a global corporate giant. Odds are that the virus-like spread of the BI dashboard has reached epidemic levels. BI teams are stretched thin building more dashboards than the Tesla factory. And the requests just keep growing.The business teams are demanding more and more and more. “I need a new sales report”, “I need another traffic report”, “I need another hundred metrics on this dashboard or else it’s useless and I can’t run my (...)

#hackernoon-top-story #analytics #business-intelligence #data-science

New Year Resolutions #2019: How Business Intelligence Can Help To Achieve?
▻https://hackernoon.com/new-year-resolutions-2019-how-business-intelligence-can-help-to-achieve-

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How to Level Up Your Business Intelligence“You are never too old to set another goal to dream a new dream”2018 Ends; 2019 Began! New Year is just not replacing your table calendars but it marks the joy of new beginning; arrival of new hope!It is the perfect time to evaluate and create business goals for the upcoming years as it helps to stay focused and prevent business from becoming stagnant.However, every business has some common goals like:-Boosting productivity in the businessIncrease competency by optimizing the business planKeeping track on budgetImprovising HR managementForecasting sales accuratelyImproving Financial Health of the businessSmart goal settingCreating effective marketing campaignsAlthough, you may have put high efforts to achieve these goals and succeed as well; but you may (...)

#bi #analytics #business-intelligence

4 Case Study Questions for Interviewing #data Analyst at a #startup
▻https://hackernoon.com/4-case-study-questions-for-interviewing-data-analyst-at-a-startup-c8659e

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At Holistics, we understand the value of data in making business decisions as a Business Intelligence (BI) platform, and hiring the right data team is one of the key elements to get you there.To get hired for a tech product startup, we all know just doing reporting alone won’t distinguish a potential data analyst, a good data analyst is one who has an absolute passion for data. He/she has a strong understanding of the business/product you are running, and will be always seeking meaningful insights to help the team make better decisions.That’s the reason why we usually look for these characteristics below when interviewing data analyst candidates:Ability to adapt to a new domain quicklyAbility to work independently to investigate and mine for interesting insightsProduct and business growth (...)

#data-science #data-analysis #interviewing-data-analyst

Like Data Analytics ? Learn Some #economics First
▻https://hackernoon.com/like-data-analytics-learn-some-economics-first-67b16926ceab?source=rss--

Data analytics is one of the fastest growing jobs. But, you can be even more successful in it with at least some knowledge of economics. In particular, these techniques can help you create your own mini research lab in your startup so that you have the resources of a large company to produce useful business intelligence analysis, while still remaining agile and lean.Having finished my doctorates in both a traditional economics and a less traditional computer science-ish department at Stanford, I’ve had the opportunity and pleasure to interact with a wide range of quantitative data science techniques. Both departments have different styles, but their approaches are highly complementary, which is being increasingly recognized by economists, such Susan Athey and Sendhil (...)

#data-science #entrepreneurship #statistics #computer-science

Opinion: The game industry must face up to its gambling problem
▻https://www.gamasutra.com/view/news/308232/Opinion_The_game_industry_must_face_up_to_its_gambling_problem.php

Chickens have a way of coming home to roost in the tech industry—and gaming hasn’t been immune to the lawless, “that’s tomorrow’s problem” mentality that leads to one ballooning crisis of irresponsibility after another. Instead of getting out in front of a predictable problem and putting guardrails around it, the industry tends to let things explode before admitting anything is even remotely wrong.

This was on my mind as I saw the latest debates about microtransactions and gambling swirl around. It’s all been discussed by popular gaming YouTubers like Jim Sterling and TotalBiscuit, as well as gaming journalists, the ESRB weighed in (with predictable cowardice), and it’s even been brought to the attention of the British government.

That last bit should worry the industry. Its failure to self-regulate, to develop wide ranging ethical standards for the practice, will lead inevitably to the imposition of regulations from without. Gaming studios have, for the moment, been glorying in the grey area created by technological novelty, after all. Most people still don’t know or care what a “lootbox” is, much less regard its contents as in any way valuable.

I welcome your article here, I’ve been one of the most outspoken critics of these tactics in the world community for some time. When I published “Monetizing Children” (▻https://www.gamasutra.com/blogs/RaminShokrizade/20130620/194429/Monetizing_Children.php) here on Gamasutra in mid 2013, it was the first article of its kind published anywhere. I believe that is because it was the ultimate taboo subject. Now more than 4 years later, it still is. That article caused me to be summoned to Panama for the ICPEN summit where international regulators met to decided how to protect children from a threat they still did not understand.

USA regulators were a no show at the summit. Apple and Google were invited and declined. Disney did send a VP and when I presented slides of a Disney product made for young children that included a roulette wheel in the tutorial, the Disney exec ended up fleeing the summit before answering a single question from international regulators. She literally threw down her translator and went directly to the airport as regulators were attempting to question her.

Even as governments in Asia attempt to regulate gacha boxes, many of the largest Western gaming companies feel themselves too big to regulate and do their best to avoid compliance. When China mandated the exposure of gacha box potential drops and their odds, instead of complying Activision Blizzard responded by changing the method that the random reward was deployed in Overwatch ever so slightly in an effort to avoid the letter of the law but not the effect. When a Blizzard business intelligence exec asked me my opinion about the monetization system for Overwatch earlier this year, i told him it was not in the interests of consumers to not comply, and that challenging the Chinese government would not be in the interests of the company long term. He just smiled and shrugged.

And yes of course the ESRB is going to avoid regulating America’s industry. That’s what they do. But when other countries do act to protect their citizens, the result is a patchwork of global regulation that is very complex for Western game developers to navigate. So ultimately they will be forced to comply with the stricter regulations as that’s easier than having a different product in every country.

How the Data Implosion will trigger the Great Game Dev Correction
▻https://www.gamasutra.com/blogs/RaminShokrizade/20170829/304535/How_the_Data_Implosion_will_trigger_the_Great_Game_Dev_Correction.php

Since at least 2014 I have been alluding to the “coming F2P mobile extinction event” in various comments I have made here on Gamasutra. But the trends were still reversible and I was hoping the indicators were obvious enough that industry would act independently to avoid a death spiral. The problem here is that industry has misinterpreted the indicators and has actually acted to accelerate the actions that would trigger a death spiral.

Techniques to use data science to capture the MSP are of course sensible from the perspective of the developer, but for the consumer this raises the cost of games and thus reduces the perceived value of our products. Here I don’t mean one product. I mean ALL products on the market. The consumer will learn from experience and use inductive reasoning to come to the conclusion that if their last 10 game experiences didn’t really impress them as a good deal, then their next experience won’t either.

Thus by using data science techniques to improve revenue generation in the short term, we end up lowering the MSP for ALL products from ALL sources on ALL platforms over time. This is what I call the Data Implosion. Of course the natural reaction in such a situation where your X Trend continues to decline is to do the “smart thing” and spend more on business intelligence. Which, accelerates the Data Implosion.

Here is why. Game development studios don’t have infinite budgets to spend on games. The more they allocate to BI and data science, the less they allocate to non-quantitative design and creative aspects of the game. I will just call all of these people and assets “Creatives”. As these Creative assets are lowered in value, they experience layoffs and reduced earnings and respect even when they are working. This translates to lowered morale and productivity.

An open letter to #Tesla and #Google on driverless cars | TechCrunch
▻http://techcrunch.com/2016/06/01/an-open-letter-to-tesla-and-google-on-driverless-cars

Here is my brutal truth to the great minds of Tesla and Google: You don’t have the assets or human power to create a driverless society on your own. The software algorithms required for driverless cars will never be complete and will involve constant maintenance; therefore, you will need to move to an open data and open source community in order to achieve the goal of the driverless society.

We are already beginning to see this conundrum emerge in the auto industry. For example, Google and Fiat Chrysler recently released a self-driving car partnership, but confessed they were unsure who actually owned the driverless car data.
[…]
It’s about safety
I am a capitalist and a believer in corporations and intellectual property rights. However, in this area I am torn with my own rationalization of the future of a driverless world. I will probably not live long enough to see a driverless society, as I believe the feat to be bigger than a few impressive corporations.

Don’t get me wrong, I want you to succeed! Society needs you to succeed. I have lost many friends to automobile accidents and have been in a serious one myself. If an algorithm had been in control, these people may be alive today. What you are doing is critical to our society. Please think differently and not with greed or ego.

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You’re never going to find a data scientist with that ad - TechRepublic
▻http://www.techrepublic.com/article/youre-never-going-to-find-a-data-scientist-with-that-ad

“Admit it,” [Christi Eubanks, Gartner analyst] writes, “You and/or the recruiter took a bunch of LinkedIn posts and genetically engineered your perfect, beautiful quant baby with skills you didn’t even know you needed.”

And so the job spec asks for an MS or PhD (with an MBA, preferred!) that knows every business intelligence program ever invented, hacks NoSQL databases in her spare time, and also loves PowerPoint.

This leads Eubanks to conclude: “Data scientists are related to, but not the same as statisticians, who are not all versed in web analytics, which is not SEM, though all of the above can probably handle some SQL, and none would pick .ppt as their favorite medium. There are three or four different experts rolled into this one position, but none of them are going to apply for this job.”

Far better, she argues, following her colleague Svetlana Sicular, to stop searching for unicorns and instead let someone with potential grow into the job. According to Sicular, the best data scientists will be those that know the right questions to ask. Learning the tools (like Hadoop) that help answer the questions is a secondary problem.

Locus Online Perspectives » Cory Doctorow: Libraries and E-books
▻http://www.locusmag.com/Perspectives/2013/09/cory-doctorow-libraries-and-e-books

Unlike every other channel for e-books, libraries are not the publishers’ competitors. They don’t want to sell devices. They don’t want to win over customers to a particular cloud. They just want readers to read, writers to write, and publishers to sell. They deserve a better deal than they’re getting.

Publishers should be courting libraries as neutral parties and potential allies in the e-book wars. Publishers are in direct competition with e-book companies like Amazon, who publish e-books as well as selling them. But when Amazon sells an e-book, it gets mountains of business intelligence from the transaction: who is buying, where, from which keywords, and with what other books (for starters). What does the publisher get? An aggregate sales figure, 90 days after the fact. Of course Amazon is running circles around the Big Five publishers: the publishers know nothing about their customers, and Amazon knows everything about them.

Library e-book circulation data is a source of potentially priceless, actionable business intelligence for the publishers, if they can stop focusing on gouging libraries on price and focus on cooperating with them instead. Libraries could provide publishers with daily circulation figures, broken down by city, for every book, along with correlations between books (‘‘this book was checked out with that book’’). Provided the data is sufficiently aggregated, it would not pose a risk to individual patron privacy. This has to be managed carefully, of course, but if there’s one group that can be relied upon to treat this issue with the care it is due, it’s librarians.

Is #Big_Data big hype ? | TechRepublic
►http://www.techrepublic.com/blog/tech-manager/is-big-data-big-hype/7892?tag=nl.e079&s_cid=e079

If you’re feeling a strange tingling sensation in the “what’s old is new” corner of your brain, you might recall the days of Data Warehouses (later Business Warehouses) and Business Intelligence, where large data sets would bring similar promised benefits to IT.

()… While that’s exciting and there are certainly some interesting innovations in this area, it’s certainly not news to anyone who’s spent time in IT that a new year brings bigger, better, and faster technologies. Arguably, the technology is one small portion of the promise of Big Data.

From a larger philosophical perspective, one must wonder if overreliance on historical data is even as relevant as Big Data proponents would imply. Management guru Peter Drucker saw increasingly available IT as a threat to corporate decision making, not due to cost or some perceived evil, but because IT made it so easy for management to focus on the past rather than attempting to determine and react to future trends.