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Business Intelligence (BI) software has had a bit of a struggle as of late. Although the concept has been around for decades, it’s been overshadowed by the shiny new thing, Big Data, which has its roots in BI but adds on much more.

Part of the problem centers around the fact many people don’t even know the difference between BI software and Big Data tools, and if you don’t know what they are, you don’t know what they do. IT consultant Eric D. Brown summed it up nicelyby stating “Business Intelligence helps find answers to questions you know. Big Data helps you find the questions you don’t know you want to ask.”

By that logic, BI software will always have a place and won’t be supplanted by Big Data because they are both working toward two very different ends. One thing Big Data does have over BI is the tools. BI tools have not been terribly actionable and often couldn’t identify what was meaningful and what should be ignored. They just presented a report on everything, which can be no better than the raw data in some instances.

Gartner notes that the analytics market, the overarching umbrella that cover both BI and Big Data, is splitting into two groups: the traditional business intelligence market and the new data discovery market, which is primarily Big Data.

In its latest Business Intelligence Magic Quadrant report, Gartner noted the differences in the two markets. BI is driven by IT and queries existing repositories, using monitoring and reporting tools and primarily digested by consultants. Big Data is used by business groups on data that’s coming in, and is primarily examined by line of business executives with visualization tools.

Where BI Software Has Been, Where it’s Headed

So BI software is in no risk of being killed off by Big Data, but at the same time, it cannot stay as it is. BI must evolve, and in 2014, it went through its share of changes. So here’s where BI has been and where it is going.

1) A more user-friendly UI: BI dashboards have traditionally been designed for IT pros, but the concept of easier to read, more user-friendly UIs is bleeding over from Big Data. Companies like Tableau, Qlikview, TIBCO and Microsoft (through Excel, no less) are putting a friendlier face on BI than has traditionally been.

In its Magic Quadrant report, Gartner states that by 2023, the shifting tide of BI platform requirements will move from reporting-centric to analysis-centric apps, which means the majority of BI vendors will make governed data discovery capabilities “an expansion of, and the prime competitive capability for, their BI platform offerings.”

2) More analysis: Gartner says that by 2023, the shifting tide of BI platform requirements, moving from reporting-centric to analysis-centric, will mean the majority of BI vendors will make governed data discovery capabilities an expansion of, and the prime competitive capability for, their BI platform offerings.

In the wake of big data and its promise of real-time analytics and response, BI can’t settle for generating a report and waiting for someone to read it and act upon the data. What there are for real-time dashboards only provide a small glimpse into business activity.

To improve situation awareness for decision makers, dashboards are being upgraded to include data from multiple sources and the data brought together in a broader view of events. New data sources, beyond the usual data warehouse, are now being considered, like news feeds, industry data feeds, weather feeds, and social media.

3) Going mobile: As part of this, BI software is moving into the mobile space as smartphones and tablets become standard issue for the workforce. These devices certainly can’t do BI computation with their limited processors but they can certainly display it. This will allow for decisions to be made in the field and for remote workers to collaborate.

Already Oracle, SAP and Tableau have mobile offerings and there are undoubtedly more in the pipeline. By 2023, Gartner predicts more than 50 percent of mobile BI users will rely exclusively on mobile devices for insight delivery.

You're reading Business Intelligence Software: Where It’s Headed

Business Intelligence Impact On Slots Online

The impact of Business intelligence on online slots and the entire iGaming industry is going deeper.

The online gaming industry’s popularity is only increasing as new casino sites pop up every day. Players all around the world use their devices to access favorite games and discover new ones. So, it’s difficult for a gaming provider to secure its market share, which is why business intelligence may come in handy.

Business intelligence is a combination of analytics, data collection, visualization, and many other tools. However, its impact on online slots and the entire iGaming industry goes deeper. For that reason, let’s go further into details and see its effects.

Compliance With Relevant Regulations

Many people still have misconceptions about online gaming regulations, so it might surprise some that they’re not an issue in most countries. Naturally, an online casino needs to have a regulatory license to be able to operate legally. That’s why online gambling sites stay dedicated to securing business transparency and fair playing conditions for players.

Keeping up to date with regulations and laws is even more important because gaming licenses are temporary, and online casinos need to renew them from time to time. And since it’s not easy to produce accurate and comprehensive reports for authorities, business intelligence comes in handy. BI ensures that casinos promptly produce and deliver regulatory reports to be able to keep offering

slots online

to their dedicated user base.

Slot Games Online Delivery

It might come as a surprise that something as simple as slots is so challenging to develop. Keep in mind that playing style and developing software are two different matters. Therefore, many seasoned professional developers need to put in a lot of time and hard work to create a persistent slot growth.

So, if you want to

play Gates of Olympus slot machine online at Mega Casino

, you should take into account the effort put into placing the game in front of you. This is especially true if the games come with additional bonuses, incentives, or progressive jackpots — in fact, you have business intelligence to thank for many of these things.

Acknowledge the developers’ struggles by starting your online slot journey prepared — with a good technique and bankroll that will help you stay on the right path.

Detailed Player Location Analysis

Naturally, online casinos aim to deliver their content to multiple locations and countries worldwide. For a variety of reasons, casinos benefit from knowing their players’ location. With a little help from business intelligence, operators can determine where slot games are most popular, whether it’s Finland, Canada, or some other country.

Having such information might help in deciding whether localized expansion is a good thing.

New Trend Predictions

Another thing that business intelligence does perfectly is predict new trends. BI provides accurate reports that help identify current and future trends with players. This helps developers determine future interests, and it keeps them one step ahead of the competition.

For example, such a report can discover that a certain game has had 10x more players in one month compared to the previous one. Such information can help developers make assumptions about future trends, decide on the right time to promote the game, etc.

Some companies even go as far as to create free games to predict future trends, but you can read more about why free slots are taking over the world in

this article

Mobile Analytics

Naturally, the iGaming industry wouldn’t have grown as fast as it has without technological innovations like mobile-oriented play. The mobile gaming market was worth a staggering $79.5 billion in 2023. Reports indicate that it will keep growing and reach numbers three times as high in only seven years.

Embedded Business Intelligence: Beware The Traps

Hardly a day goes by that I don’t see another case study, white paper, research report, or press release promoting embedded Business Intelligence or analytics. However, far too many of them either ignore or minimize the two big traps of embedded BI.

Before diving into the traps, let’s define terms. Many software vendors and IT departments have added analytics or BI functionality into existing enterprise applications. The earliest examples were when finance departments asked IT to add financial modeling tools to their existing general ledger applications within their Enterprise Resource Planning (ERP) suites. Initially these tools were from third parties (Hyperion’s Essbase is a great example) that were bolted onto an organization’s Oracle or SAP financial module.

Fast forward a decade and the ERP vendors acquired those BI players and started embedding those analytics functions into a host of other apps, too, including CRM, SCM and HR. And as the vendors began to saturate their installed base, and their customers began drowning in Big Data, a big new opportunity appeared: to extend access to embedded BI way beyond a few financial analysts.

Indeed, this new goal promoted embedded BI and analytics into a host of business processes used by just about every individual in the organization. It was a nifty way for BI vendors to get beyond the 20 percent penetration rate of their current installed base.

This gave rise, however, to the two biggest traps in embedded analytics:

Trap number one: believing that there’s a substantial return on investment. The return on embedding BI remains unquantified, to a large extent.

A recent report by the Aberdeen Group, “Embedded BI: Boosting Analytical Adoption and Engagement,” lists the top four benefits of embedded BI and the percentage of the 174 respondents who achieved these benefits:

(Source: Aberdeen Group, February 2012)

The report’s author, research director Michael Lock, explains the benefits of embedded BI this way:

“Using the embedded BI approach can spread the analytical mindset to more people, and more areas of the company. Companies that develop an analytical culture can realize process improvements and add value to existing software investments. When the workforce at a company has a data driven mindset, and places great value on analytical decision making, the company is in a position to improve vital business processes and increase the yield of their investments in enterprise software.”

When asked about the quantification of the RoI of embedded BI, Lock acknowledged that “proving a tangible RoI is always a challenge.” He noted that improvements in operating margins or revenue growth are typically seen in best of class companies that use embedded BI and make it pervasive, but that it is very difficult to establish the cause and effect relationship.

I doubt if the above table and description has enough dollars and cents quantification to persuade a CFO to approve a multimillion dollar purchase order for the software, servers and other costs involved.

Trap number two: the costs. The incremental investment in expanding embedded BI access from a few highly trained analysts to a broad range of employees who depend on embedded BI to do their jobs is more than just the additional software licensing fees.

Deepcoding: Modelling Better Business Decisions Via Operational Intelligence Tools

To become an Intelligent Enterprise, organizations need to put resources into three key areas: an intelligent suite, smart technologies, and a digital platform. Data is the heart of any organization. Although, IT teams have to work very hard with regards to data management and delivery operations. Over the years, there is a need for a smart platform handling IT delivery operation. DeepCoding’s Delivery Intelligence Platform (DIP) saw that need which gathers raw data in any format across all existing IT delivery management tools to create a consolidated 360 view of the entire organization’s IT delivery operation.

Standing Out in Immerse Market Seasoned Leaders

Both DeepCoding founders are B2B software and IT delivery veterans: Sebastien Adjiman, Co-founder and CEO is a seasoned business leader with over two decades of experience founding businesses and assuming executive roles at Enterprise Software companies. Prior to founding DeepCoding, Sebastien served in a variety of top executive roles, including VP business development at BiScience, a Business Intelligence solution provider and VP and Head of EMEA at Clarizen, a leading PPM solution provider. Arnon Yaffe, Co-founder and CPO, has more than 20 years of experience in delivering very large-scale IT projects, especially when he was CEO of the largest local Oracle ERP implementation partner. Both are passionate about helping their customers, CIOs of very large IT organizations; cope with the increasing pressure brought by the digital transformation revolution, expecting IT to deliver more, faster and with the same amount of resources!

Cutting-edge Intelligence tools Predict and Prevent Failures Awareness and Anticipation

Business Intelligence has helped leaders be aware of what is happening in their organisations, and it has allowed them to know when failures occur. This has streamlined today’s innovation, but the company thinks that by the time leaders are notified that a failure is happening, it’s too late. That’s why DeepCoding is overtaking and building on BI with Operational Intelligence (OI), the solution that truly drives today’s innovation and addresses its problems. OI allows leaders to know about risks before they happen and finds its root causes so that managers are not reacting to problems as they arise. Instead, with this new proactive control tower, leaders can anticipate them and focus on driving smooth innovation. DeepCoding is the first company to apply Operational Intelligence to IT Delivery Operations.

Industry’s First IT Delivery Intelligence Platform

DeepCoding has created the industry’s first IT Delivery Intelligence Platform. Its unique technology is already helping large organizations get control, visibility, transparency, predictability and productivity out of their IT operations. The company operates with a transparent company culture, which creates an informed, motivated team that drives innovation.

Secure Friction Against Challenges

Since DeepCoding is an AI first startup, the raw material of its product is data. The major challenge for the company was to bring the platform to the highest level of security, in order to comply with the infosec and privacy requirements of the largest group and companies in the world. This took a lot of efforts and time, but the company was able to leverage Israel’s expertise in cybersecurity and data protection to build a secure platform that answers the highest standards so its customers felt comfortable.

Notable Achievements

The company raised US$1.6 million from leading VCs StageOne and AxessVentures. It has been selected to be part of the prestigious Walmart/Coke bridge program, where US fortune 500 select specific startups out of hundreds to be part of a dedicated commercialization program. DeepCoding is right now working with leading banks, software companies, retail groups as well as very large hi-tech companies.

Prospective Revolution

8 Seo Software Problems Solved By This Seo Artificial Intelligence Tool

This post was sponsored by Market Brew. The opinions expressed in this article are the sponsor’s own.

Wish you could rank higher than your competitors in search results?

It’s time to move past the tools that your competitors are using. Stop using historical data and start looking at SEO tools that accurately predict Google algorithm update impacts.

You can do this with a comprehensive SEO intelligence tool, like Market Brew.

SEO intelligence uses AI to determine the future of your search by helping you:

Today, we’ll dive into how to solve hiccups at each step, but first, let’s learn more about what SEO intelligence is.

What Is SEO Intelligence?

SEO intelligence uses Artificial Intelligence (AI) to help guide search engine optimization for better rankings and organic traffic by assisting with:

Keyword research.

SERP analysis.

Content writing.

Optimization, and more.

The most successful SEO professionals prioritize testing new tools to find exciting new intelligence features that boost your search engine optimization.

Market Brew sets a new standard for forecasting SEO like no other software tool has before.

1. Predict Exactly How Algorithm Changes Will Affect Your Search Visibility

With Market Brew’s sophisticated AI process, you can confidently make predictions on the future of your search for your site.

Yes, with AI, you can immediately predict SEO rankings, months before those changes show up in their rank trackers.

Instead of spending hours upon hours researching what could happen in the future, and putting your own personal credibility on the line, Market Brew can show you exactly what to expect from a volatile Google algorithm update.

How? By creating an SEO testing platform, or predictive model, based on real algorithmic data.

When your SEO team completes a task in Market Brew, the changes are tied directly back to the predictive model that the task was based on.

Users can immediately see the effect of even the smallest optimization, leading to a deeper understanding of how each SERP is calculated.

Predict your ranking shifts, now →

2. Learn & Observe Decisions Search Engines Make

Wondering why a competitor’s page is ranking higher than yours?

Need to explain to clients why Google is shaking things up again?

Using AI, you will be able to quickly and accurately get the SEO analysis you are looking for.

With its ability to utilize a genetic algorithm and self-calibrate each search engine model, Market Brew will help you understand how each SERP change happened through comparison – it will view the different learned algorithmic bias/weight changes from before and after Google’s algorithm update.

Market Brew uses Particle Swarm Optimization to adjust the algorithmic settings on its standard model so that Market Brew’s results look exactly like the target SERP results.

Each time this calibration process runs, the bias/weight settings are updated and stored.

When Google rolls out its next algorithmic update, Market Brew automatically re-calibrates its search engine models.

With the new calibrated settings, users can easily see which algorithms are now more or less important.

3. Conduct Truly Accurate Competitive Research With AI

With Market Brew, you can start by looking at your competitors’ sites in a detailed side-by-side comparison.

You can quickly create an SEO pros and cons list, with websites in the same field.

Here, you’ll be able to pay attention to key comparison details, such as:

Elements of your competitor’s content.

Your competitors’ internal page links and backlinks, sorted by either link flow distribution, anchor text distribution, or both.

Keywords with high search volume or transaction value.

Your competitor’s top-performing pages.

Looking at your competition will guide you on how to improve your site. Competitor comparisons save time, money, and resources when taking over market share in search.

4. Measure Total Link Value

The links on your pages are an essential part of gaining traffic to your site, specifically the number of links and the links’ authority.

The types of links on your page can significantly affect the value and ranking authority from one page to another. Measuring links is the most straightforward method of determining a site’s backlink value.

Market Brew scores each link on your site with the most sophisticated link algorithms to create the most accurate overall depiction of how powerful each link is.

When viewing your total link value, here are things to consider:

Is the link relevant?

Is the linking site authoritative?

Is the link followed?

Where is the link on the page?

How many links are on the page?

Is the link reciprocal?

Does this link share anchor text with another link?

You should always be intentional with your linking. Remember:

Cluttered and excessive links are unlikely to create a seamless user experience, and oversaturation devalues links.

When placing your links, consider the visitor’s intent and how to help them achieve their goals.

Links from trusted sites that have built up their authority pass more link equity than links from brand-new sites just starting.

Links at the bottom of a page do not hold as much weight or authority in Google’s eyes.

Links that are reciprocal do not pass as much link flow as links that are not.

Links that appear on every page, and share anchor text and target, do not pass as much link flow as those that appear uniquely.

If you link to a restaurant business’s grand opening from an article about where to trade in your car, the link is irrelevant — Google will note this, and your SEO link software should, too. Irrelevant links do not provide authority or value.

5. Measure & Evaluate Keyword Link Value

Market Brew uses targeted keywords as anchor texts for internal linking and link building from other websites to help certain pages rank on search engines.

This calculation, combined with Market Brew’s sophisticated link scoring, determines an anchor text distribution that other tools can’t see and assigns each anchor text a specific importance, based on the quantity and quality of backlinks sharing this anchor text.

SEO tools can help you find your highest-ranking keywords. Vary your anchor text distribution using your primary and secondary anchor texts.

Link variance performs better on search results both for primary and secondary keywords. The goal is to rank for specific keywords while focusing your anchor text distribution on the right landing pages.

6. Determine Real E-A-T Scores

E-A-T stands for Expertise, Authority, and Trust. According to Google, E-A-T is one of the most important factors when considering a website’s overall Page Quality Rating.

Google states you need these things to be trustworthy and have authority:

A satisfying amount of high-quality content, including a descriptive or helpful title.

Satisfying website information and/or information about who handles the website. For example, an ecommerce site should have satisfying customer service information.

Maintaining a positive website reputation across the internet.

Until Market Brew’s insights, SEO professionals had no way to measure E-A-T scores with credibility and confidence.

In 2023, Market Brew deployed its first expertise algorithm (the E in E-A-T) which measures the coverage of content for each page’s topic cluster.

In certain search results, this expertise algorithm is now showing a correlation with ranking positions.

Market Brew is the world’s first statistical modeling tool for search engines.

Market Brew is a search engine built by search engineers that can calibrate itself to behave like any search engine in the world. Its Artificial Intelligence-powered task system provides seamless navigation through each relevant part of the search engine model, uncovering SERP-specific prioritized tasks from off-page to on-page and everything in between.

A successful SEO campaign begins and ends with Market Brew’s search engine models.

7. Establish Topic Authority

Imagine being able to submit every change to Google to see what would happen. With Market Brew’s SEO testing platform features, you can.

Market Brew’s Spotlight algorithm allows users to establish the perfect Topic Authority and understand exactly what the outperforming site’s topic cluster is, and even which expert topics the content should be talking about.

Each Market Brew account comes standard with the following:

Evergreen Googlebot Crawler.

Blink JavaScript Rendering Engine.

Particle Swarm Optimization for all of your search engine models.

Proven search engine algorithms.

Rapid testing capabilities.

SEO Teams tool to help Manage Optimization.

The ability to compare and contrast how your changes fared.

8. Identify Keyword Stuffing

Topic clusters are a distillation of keywords, and keywords are essential for SEO.

But stuffing your copy with an overkill of keywords gives the impression that you focus on rankings rather than readers – and search engines notice.

Instead, Google wants to see intentional content that adds value to its readers. That is why Google frowns on pages that stuff their keywords.

Instead, focus on responsible keyword SEO optimization.

Using two to five keywords on a page is a safe number to stick with for your SEO.

Instead of using the same keyword repeatedly on your site, find related topics for each keyword to prevent the overuse of one keyword and build a topic cluster.

Google rewards sites with focused topic clusters, and sites that use them will usually have more dense content if there are a variety of keywords and related topics on a page.

Simplify Your SEO Process

If you want to simplify your enterprise SEO optimization process, stick with Market Brew.

Each Market Brew account comes with Market Focus capability, which begins with a keyword-based approach. Then, with Market Brew’s robust link-scoring layer, the technology calculates a basket of keyword clusters for each page.

Market Brew’s automated discovery system uses this data to guide you to the exact algorithms that are the deciding factors in the target search engine environment, shown on the Top Optimizations screen.

In conclusion, manipulating search rankings with repeated words or phrases will only cause a site to rank lower in Google’s search results.

Make your life simpler and let Market Brew take your keyword optimization to the next level with our software.

SEO professionals find our predictability analysis to be the closest thing you can get to an SEO services guarantee.

Through our search engine replication process, we quickly and clearly show you how best to optimize your site, making it a walk in the park for you and your business.

Are you interested in signing up for a Market Brew account? Book a demo today, and see how valuable our software can be for your business.

Image Credits

Featured Image: Image by Market Brew. Used with permission.

Benefits Of Using Online Payroll Software For Your Small Business

Running a small company or business is a lot of work. It’s your job to ensure the back office is working well, but it doesn’t mean you have to do everything on your own while running the show. On the contrary, strategic decision-making and smart delegation may enhance the business operations you do more in a shorter period of time. A good example of this is the way you handle your payroll. Alternatively, you might assign the work to a trustworthy employee, hire a bookkeeper or accountant, or use an online payroll from Info-Tech Systems Integrators.

1. Improved Worker Satisfaction

You won’t be pleased if your staff aren’t happy. By ignoring morale in the workplace, your best employees may vote with their feet and leave your company. It is much easier and less likely that you will make costly payroll errors if you use an online payroll software program. This alleviates some of your concerns and allows you to retain your finest employees in place.