Many IT professionals find, far too often, data management responsibilities consume large percentages of their workdays. Although those tasks are crucial, there are effective ways to do them more efficiently with automation, thereby freeing up more minutes — or hours — in a day to get other things done. For that to happen, though, tech experts must keep some essential things in mind.
1. Consider Ways to Reduce Dependence on Physical Resources
If employees at an establishment still primarily view data by printing it out and reading paperwork they hold in their hands, IT managers should think about using automation software that automatically distributes reports to the designated parties, then gives them tools to view those documents online.
Florida’s Sacred Heart Health System invested in an automated report generation system called Robot REPORTS and cut down paper usage by 70 percent. The technology offers a built-in, automatic retention system that saves copies of documents for easy retrieval, so people don’t have to remember to save backup copies. Instead of storing physical copies in bulky filing cabinets, workers can just pull up materials on their screens.
Expanding a paperless solution so it includes cloud-based storage is an excellent way to facilitate access to documents without taking up space in a building. Today’s leading cloud providers have extremely secure options, and some of them transfer materials directly to the cloud, making physical papers virtually unnecessary.
2. Focus on Methods That Reduce or Eliminate Bottlenecks in Complex Processes
The more steps a data management process has, the greater the likelihood there’ll be a slowdown along the way. Such was the case with AsiaCell, the largest telecommunications company in Iraq. The company discovered its data came from numerous sources, ranging from Excel spreadsheets to phone calls.
Representatives also realized they lost a significant amount of valuable data or duplicated it unnecessarily by lacking defined processes. Some of the company’s workflows had as many as 16 steps, so any slowdowns were extraordinarily time-consuming.
By investing in a platform that creates automated digital workflows, AsiaCell saw a 78 percent increase in efficiency and saved 16 hours per work process, on average.
3. Look at Solutions That Speed up a Company’s Cash Flow
Using automation in a business’ billing department may be particularly advantageous if it becomes apparent employees are spending too much time on processes that directly impact cash flow. That’s especially true if the people responsible for billing approvals carry out a large number of manual tasks.
NeoSystems, a company specializing in back-office management, understood the need to automate portions of its billing approvals workflow. Before investigating automation, the company’s process spanned across weeks, required multiple follow-up methods and didn’t have a built-in tracking system.
However, the automated approach that’s now in place allows people to approve bills through a process that allows them to pull up supporting documents from a secure server in the same interface, instead of having to dig through their emails or other records. Also, they only push a button to notify the accounting department that they’ve reviewed the documents in question.
With this approach, the company can automate nearly 1,000 bill-related requests per month — and sometimes more. This case study is a strong example of why it’s ideal when there are techniques that can connect data management to cash flow.
By speeding up the billing process with streamlined access to data, companies can get the funds they’re owed faster.
4. Use Automation to Classify Data without Sacrificing Security
The need to properly categorize data and apply the correct privileges to it is consistent across industries. If a company fails to do that, the likelihood of lost data increases, as does the potential for sensitive material to fall into the wrong hands.
However, IBM offers an automated data profiling service that recognizes names, social security numbers and other types of data companies often handle. It can automatically apply rules to entire datasets, such as restricting access to documents that contain credit card numbers.
By evaluating methods to depend on automation to filter data accurately and ensure it goes where it should after entering a network, IT professionals can reduce the threat of internal security issues. Plus, an intelligent classification system lets people spend less time looking for the data they need, and more time poring over it to extract the pertinent details.
Keeping these pointers in mind is the first step in coming up with an improved data management system with the help of automation. It’s also important to be aware of the needs a department or whole company might have in the future, and research ways automation could enhance growth.
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This article aims to list all top BI (Business Intelligence) products available on the market. It should help interested users to compare and select the best solution for their needs. According to the list of best business intelligence tools prepared by experts from FinancesOnline the leading solutions in this category comprise of systems designed to capture, categorize, and analyze corporate data and extract best practices for improved decision making. The more advanced the system is, the more data sources it will combine, including internal metrics coming from different company departments, and external data extracted from third-party systems, social media channels, emails, or even macroeconomic data. Ultimately, business intelligence software helps companies gain insight on their overall growth, sales trends, and customer behavior.
1. Sisense
Sisense is one of the leaders in the BI market and a winner of the Best Business Intelligence Software Award for 2016 from FinancesOnline, one of the most popular business software review platforms. This solution capable to effectively simplify complex data analyses, and make big data insights accessible even for startups and small companies. The competitive edge of Sisense is primarily its capacity to collate data from multiple sources without pricey preparations (sources can be Salesforce, Google Analytics, AdWords, and many more). Users will also enjoy the tool’s very efficient use of in-chip technology in a database that processes data 10 times faster than traditional systems. Sisense also works with the innovative ElastiCube technology, which means it can import large sets of data and work with any CPU layout without compromising the quality of your results. If you are interested to learn more about its features you can actually try out the software yourself with a great free trial plan they offer. You can easily sign up for Sisense free trial here.
2. Actuate Business Intelligence and Reporting Tools (BIRT)
BIRT project is a flexible, open source, and 100% pure Java reporting tool for building and publishing reports against data sources ranging from typical business relational databases, to XML data sources, to in-memory Java objects. BIRT is developed as a top-level project within the Eclipse Foundation and leverages the rich capabilities of the Eclipse platform and a very active open source community of users. Using BIRT, developers of all levels can incorporate powerful reporting into their Java, J2EE and Eclipse-based applications.
3. icCube
icCube is a SaaS end to end BI platform, specialized to be embedded in your application. Deploy it on premises, in the cloud or make use of one of their managed services and enjoy a short time to market for custom feature requests. It integrates seamlessly with any application because of the on-the-fly-authentication and authorization (up to cell level), the ability to connect and combine any custom data source, direct access to Java and R, a web based dashboard builder and the ability to graphically design widgets from scratch. Basically, icCube is the dream for any software developer who needs to provide predefined dashboards or a solid web based self service BI solution, to their end-users.
4. Domo
Domo’s Business Optimization Software brings together the people, the data, and the insights business users need to deliver a detailed view of what’s happening in your organization. Connect all of your crucial business data, collaborate with fellow employees, and get powerful visual data—all within one customizable platform.
5. Board Management Intelligence Toolkit
BOARD toolkit combines various BI and CPM functionalities within a single graphical software environment. BOARD’s BI capabilities include multi-dimensional analysis, ad hoc querying, dashboarding and reporting, while its CPM capabilities include budgeting, planning and forecasting as well as “other finance-related activities”.Like Business Intelligence software in general, BOARD is used in an effort to improve productivity and decision making while lowering costs. It does not require any programming skills to build BI and CPM applications.
Clear Analytics is incredibly intuitive Excel-based solution with minimal training required. Employees with a basic knowledge of Excel can learn the system rapidly, so businesses can implement a fully-operational, self-service Business Intelligence system with little downtime and almost no learning curve. Clear Analytics offers a variety of BI-specific features to help generate, automate, analyze, and visualize a company’s key data and information. Clear Analytics also enables consolidation of data from multiple data sources and all within excel.
7. Ducen
Companies need to keep an eye on every revenue generating event and cost saving opportunity while improving customer satisfaction and retention. By combining historical data with real-time operational data for analysis, business users can make more informed, proactive decisions. However, to achieve these efficiencies, data must be available real-time.
8. Gooddata
GoodData powers the All Data Enterprise by offering an Open Analytics Platform that supports both IT’s need for Data Governance, security and oversight and business users desires for self-service Data Discovery.The platform consolidates data of any size, typically found both inside organizations and in the cloud, creating an analytic experience that is both fast and agile for users, yet protected, managed and secured for IT.
Information silos, multiple platforms and excessive reliance on spreadsheets can hinder the process of analyzing your business data to understand performance and recommend improvements With business analysis software from IBM, you can explore information from different angles and perspectives and compare it with data in motion and trends for a more extensive view of your business. The facts you need for better results are right at your fingertips.
10. Insightsquared
Successful sales strategy is dependent on understanding the customer. But for small and medium businesses building up the kind of intelligence database needed can be time consuming and take staff away from the task of actually selling. It can be many months before the implementation of a traditional sales intelligence platform bears fruit.
11. JasperSoft
The Jaspersoft Business Intelligence Suite offers a number of ways for end users to perform interactive analysis. For the most casual user, this might involve simply changing a filter setting on a report to view a different slice of data. For a data analyst this could mean writing powerful, multi-dimensional expressions.
12. Looker
Looker is a data-discovery platform that helps companies make better business decisions through real-time access to data. Data, no matter the size, can be analysed within Looker’s 100% in-database and 100% browser-based platform. Looker analytics integrate with any SQL database or data warehouse, such as Amazon Redshift and Greenplum.
Microsoft Business Intelligence platform include Analysis Services, Integration Services, Master Data Services, Reporting Services, and several client applications used for creating or working with analytical data. This section of the SQL Server Setup documentation explains how to install these features. Analysis Services and Reporting Services can be installed as standalone servers, in scale-out configurations, or as shared service applications in a SharePoint farm. Installing the services in a farm enables BI features that are only available in SharePoint, including PowerPivot for SharePoint and Power View, the Reporting Services ad hoc interactive report designer that runs on PowerPivot or Analysis Services tabular model databases.
14. MicroStrategy
From local spreadsheet data to enterprise data systems to cloud-based data, MicroStrategy provides effortless access to all business data from one place. Use data connectors that are optimized for each source, and allow queries to reach their greatest performance potential. Connect to one source or many, separately or in combination. Gain the pure play advantage of superior R&D focus on strong technology partnerships and high speed analytics.
15. MITS
MITS, an established leader in reporting and business intelligence solutions for the Wholesale Distribution market, is growing and we need a BI Solution Developer to join our team. Are you passionate about helping businesses make proactive.
16. OpenI
OpenI provides a web-driven interface to build and publish interactive reports from OLAP data sources. Going beyond that, OpenI aims to provide consolidated analysis from all the key data components of an intelligent application. Our key goal is to take away the complexity of creating and publishing reports for business users. OpenI does this by providing a clean, intuitive interface to connect to different types of data sources, and to publish web-based interactive reports. If you want to build web-based intelligent applications that interact with your OLAP data sources.
17. Oracle BI
Oracle BI is a comprehensive collection of enterprise business intelligence functionality that provides the full range of business intelligence capabilities, including dashboards, full ad hoc, proactive intelligence and alerts, and so on. Typically, organizations track and store large amounts of data about products, customers, prices, contacts, activities, assets, opportunities, employees, and other elements. This data is often spread across multiple databases in different locations with different versions of database software.
18. Oracle Enterprise BI Server
Oracle Business Intelligence Enterprise Edition 11g is a comprehensive business intelligence platform that delivers a full range of capabilities including interactive dashboards, ad hoc queries, notifications and alerts, enterprise and financial reporting, scorecard and strategy management, business process invocation, search and collaboration, mobile, integrated systems management and more. OBIEE 11g is based on a proven web service-oriented unified architecture that integrates with an organization’s existing information technology infrastructure for the lowest total cost of ownership and highest return on investment.
Oracle acquired Hyperion, a leading provider of performance management software. The transaction extends Oracle’s business intelligence capabilities to offer the most comprehensive system for enterprise performance management. The acquisition of Hyperion extends our business intelligence product strategy. Customers are increasingly using performance management and business intelligence together. Hyperion adds complementary products to Oracle’s business intelligence offerings including a leading enterprise planning solution, world-class financial close and reporting products, and a powerful multi-source OLAP server. Coupled with Oracle’s BI tools and pre-packaged analytic applications, the combination redefines business intelligence and performance management.
20. Palo OLAP Server
Palo is a memory resident multidimensional (online analytical processing (OLAP) or multidimensional online analytical processing (MOLAP)) database server and typically used as a business intelligence tool for controlling and budgeting purposes with spreadsheet software acting as the user interface. Beyond the multidimensional data concept, Palo enables multiple users to share one centralised data storage.
21. Pentaho
Pentaho addresses the barriers that block your organization’s ability to get value from all your data. Our platform simplifies preparing and blending any data and includes a spectrum of tools to easily analyze, visualize, explore, report and predict. Open, embeddable and extensible, Pentaho is architected to ensure that each member of your team — from developers to business users can easily translate data into value.
22. Profit base
Profitbase SIM is a full scale financial planning and simulation tool for budgeting and forecasting where Profit & Loss, Balance Sheet and Cash Flow statements are fully integrated. SIM enables management to simulate business scenarios and immediately see the financial impact. SIM delivers a wide selection of standard reports, graphical charts and features seamless integration with Profitbase Studio and WebPlan.
23. QlikView
The QlikView Business Discovery platform delivers true self-service BI that empowers business users by driving innovative decision-making,Develop, enhance, re-engineer, maintain and support QlikView applications to create robust services around business requirements to inform business decision-making and Understand all the data that the business holds and create sustainable reporting solutions ensuring the accuracy of the data.
24. Rapid insight
Rapid Insight is a leading provider of business intelligence and automated predictive analytics software. With a focus on ease of use and efficiency, Rapid Insight products enable users to turn their raw data into actionable information. The company’s analytic software simplifies the extraction and analysis of data, enabling clients ranging from small businesses to Fortune 500 companies to fully utilize their information for data-driven decision making.
Predictive analytics give your decision makers the insight they need to predict new developments, capitalize on future trends, and respond to challenges before they happen. SAP’s market-leading combination of real-time business intelligence (BI) and predictive analytics make it easy for you to extract forward-looking insights from Big Data, harness the power of R, and create stunning data visualizations with ease.
SAP BusinessObjects Analysis, edition for Microsoft Office is an Office add-in that allows multidimensional ad-hoc analysis of OLAP sources in Excel. It also allows, Excel workbook-based application design and creation of BI presentations in PowerPoint. It perfectly connects to SAP NetWeaver BW and SAP HANA.
27. SAP NetWeaver BW
Quickly Capture, store, and consolidate your vital information with our real-time data warehouse platform. Tightly integrate your warehousing capabilities for a single version of the truth, decision-ready business intelligence, and accelerated operations.Supercharge your data warehouse environment with SAP Business Warehouse powered by SAP HANA.
28. SAS BI
According to Forrester, SAS has not only been a market leader in advanced predictive analytics, but also a provider of a formidable BI platform. Customers select SAS for its well-integrated, one-stop platform, a significant part of which is its BI capabilities. SAS provides scalability, excellent data integration, multiple query languages, internationalization, customization through a rich set of APIs, advanced analytics tools, MDM, performance management, and reporting and querying. SAS ranks eighth on number of Forrester BI inquiries. Recent market survey data indicates that 14% of corporate customers depend on SAS for their BI needs.
29. Silvon
Business Intelligence solution provider Silvon Software, Inc.to bring a powerful, web-based business analysis software interface to retailers. Under the terms of the agreement, RPE will market Silvon’s Viewer interface for Performance Analysis by IDEAS, a client-server BI application for JDA Software Group’s Merchandise Management System. This new optional interface for Performance Analysis by IDEAS will provide many added features for today’s mobile professionals.
30. Solver
The solver in excel is part of an analysis tool known as “what ifs analysis”. You can use solver to ascertain an optimal value in one cell known as the “target cell”. Basically, solver is used for a group of cells that are directly or indirectly related. Constraints can also be applied to minimize the value that can be used by Solver. This article will provide step-by-step guide on how to use solver to find solution to a business problem.
31. SpagoBI
SpagoBI supports the real-time monitoring, analysis and presentation of business data and processes. You can keep business processes under control by constantly monitoring their state.SpagoBI allows you to go further than this: you can detect inefficiencies and bottlenecks in your business processes, promptly react to events requiring quick decision making, as well as discover new business opportunities hidden in your own data.
32. SQL Server Analysis Services
Server Analysis Services platform, build high performance analytical models (multidimensional and tabular) that can be used for interactive data analysis, reporting, and visualization. SQL Server provides a comprehensive analytical and modeling experience to support rapid solution prototyping and support for the largest enterprise-grade solutions.
Style Intelligence is business intelligence software for dashboards, reporting, visual analysis, and data mashups. It blends enterprise strength with a small, 100% Java footprint. Unlike traditional BI platforms, Style Intelligence does not require specialized BI skills or consultants to implement or use. It delivers maximum self-service that is both end-user and IT-friendlier than other BI solutions.
Syntel’s Technology Outsourcing services deliver value and provide solutions that transcend platforms. Leverage Syntel’s expertise in managing business processes, systems and platforms in order to reap the benefits of an innovative and collaborative outsourcing partnership. Syntel understands your pain points and offers a set of distinctive services that enhance your operations across the applications and IT environments. Syntel designs a client-specific strategy to achieve your desired objectives, and our services help you create a strategy based on the value to your business.
35. Targit
TARGIT fights all unnecessary clicks that only make your life difficult. TARGIT BI Suite has a very unique and intuitive user interface you have to see it to believe it! You will experience an integrated and ready-to-use set of tools which enables you to create intelligent dashboards, revealing analyses and insightful reports in fewer clicks than with any other Business Intelligence solution on the market. TARGIT will accelerate decision making, increase operational awareness, and improve performance across the organization. TARGIT BI Suite is so easy to use that all employees can follow trends, create all types of analyses, and make decisions.
36. Vismatica
Vismatica by IronRock Software is powerful data visualization solution geared toward small to medium businesses. Dashboard development tools make up the core of this system, but Vismatica also empowers you to create powerful data collection forms and conduct data analysis. It can be deployed on premise or over the web as a hosted solution. Vismatica comes with additional features for sharing documents and designing web applications.
37. WebFOCUS
The WebFOCUS Business Intelligence and Analytics platform empowers everyone in your organization to make smarter, more confident decisions. WebFOCUS extends to your customers and partners, too, giving them easy access to analytic apps and tools from any browser or mobile device.
38. Yellowfin BI
Data to dashboards Yellowfin delivers a brilliant analytical experience. Our interface is more than beautiful it provides all the data discovery features that you will ever need. All this whilst providing a fine balance between the ease of use business users require and the governance needs of enterprise IT.
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As a society, we cherish our right to privacy probably more than anything else. Sharing is great, and we all enjoy it, but there is always that other side, the untold story, the personal, the secret. Now, let’s extrapolate this to a societal level. How many information is out there, purposely being concealed for the sake of greater good, for the sake of our own safety? The number is probably unfathomable. Today, when everything is online, and our lives are intertwined with a world most of us know nothing about, privacy and safety become an issue of epic proportions.
That is why we need to talk about cybercrime and utilize the very best VPNs. However, instead of writing a tract of tedious length, here is an infographic that outlines the most important cybercrime facts all of us should be aware of in 2018.
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eCommerce opened the boundaries of traditional trade and enabled entrepreneurs to reach target audience anywhere in the world. It gave rise to the plethora of new businesses but also made everyone wonder – who is my average buyer and what do I know about this person?
According to the recent research, almost a quarter of all companies don’t know whether their online efforts have the desired effect. This is where Google Analytics comes into play to help you understand the behavior of your buyers.
If you know how they react to the website content, you can make additional improvements and raise the profit. In this article, we will show you 9 powerful Google Analytics tips to boost your eCommerce website.
How to Improve Online Sales Using Google Analytics
Ted Lozano, an SEO specialist at Essay On Time, claims that only the most proficient analysts can grow online sales in the long run. Ted explained it concisely: “Today, everyone has access to Google Analytics but only those who know all of its tricks and go beyond standard solutions can truly stand out from the crowd of competitors.” But what are these Google Analytics tricks? Let’s take a closer look!
Track marketing campaigns
One of the basic features of Google Analytics is campaign tracking. You don’t want to launch a marketing campaign without being aware of its effects, which is why you need to use a special URL. This is usually the landing page created for the campaign purposes only. Google Analytics will give you a thorough overview of the landing page statistics, helping you to measure the ROI after campaign completion.
Bounce rate
A study proved that the bounce rate of 26-40% is excellent, while anything more than that falls in the ‘average’ or ‘very bad’ category. A high bounce rate suggests that your webpage content is either poorly-designed or irrelevant, so you definitely want to prevent it. Google Analytics will detect weak spots and allow you to make necessary corrections.
Acquisition reports
Another way to improve eCommerce is to learn where the visitors come from. This is the purpose of acquisition reports. They assist you in finding the worst drivers of webpage traffic, giving you the opportunity to replace them and invest more in channels that bring you more customers.
Use annotations
Annotations in Google Analytics give you an in-depth explanation of what is happening with your sales. It doesn’t only show you what is going on but also how it is possible. For instance, annotations will tell you that your sales dropped last month because the biggest competitor organized a one-week discount promotion.
Detect slow landing pages
Customers have never been too patient but today they are even more demanding when it comes to prompt service. A research showed that 40% of people abandon a website that takes more than 3 seconds to load. Using Google Analytics, you will notice the pages that take too long to respond and increase customer satisfaction rate along the way.
Customize reports
Google Analytics offers users dozens of reporting solutions. However, there is no one-size-fits-all solution to satisfy the needs of every single company. Instead, you can create your own custom report to cover only information that truly matches your requirements. And the mechanism is simple – you just need to click the ‘customize’ feature on any one of the standard reports and add options you want.
Analyze user behavior
Although you are dealing with cyber buyers, you can still track and analyze their behavior and purchasing habits in Google Analytics. Once you understand how, when, and why they abandon the page or seal the deal, you can adjust so as to indulge the customers who generate the biggest profit.
Add visualization to reporting
People are visual beings who process images much quicker than plain text. This is exactly why visual data discovery tools will be growing 2.5 times faster than the rest of the business intelligence market. You can use Google Analytics to add visualization elements to the reports and make your conclusions much simpler and understandable to the colleagues or clients.
Find reports
If you are making all sorts of reports on a regular basis, it is probably getting harder to find them after a while. In this case, you can use the option “Find Reports & More” and search through the existing documents quickly. And trust us, it is a real lifesaver on some occasions.
Conclusion
Online sales give you access to global audiences but also force you to find out more about your customers. For this reason, you need to learn how to use digital tools that can help you to understand and attract average buyers. In this article, we showed you 9 powerful Google Analytics tips to boost your eCommerce website. Don’t hesitate to use our suggestions and feel free to write a comment if you have other interesting tips to share with our readers.
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Artificial intelligence applications are developing rapidly – and businesses are waking up to the potential of the technology in HR and payroll.
In the first half of 2016, around £1 billion was invested in AI firms in the UK – with the expectation that the industry will boost the country’s economy by over £230 billion in the next 12 years. Similarly, in the US, 2016 saw over 550 startups raise around $5 billion in funding to incorporate AI as a core component of their services. The capabilities and usability of AI has developed dramatically over the past few years: today it helps us plan our schedules, calculate bills, compile shopping lists, heat our homes, and more. The technology is also becoming ubiquitous – with Amazon estimated to have its ‘Echo’ device in over 10 million homes, and Google’s ‘Assistant’ app now installed on over 2 billion devices.
HR & Payroll Applications
With such innovation and potential at our fingertips, it’s easy to see why business across the world are starting to take note of the commercial capabilities of AI. From delivering products to customers and clients, to enhancing essential internal processes, the ways in which AI might be useful to business operations are numerous. HR and payroll processing are two of the processes which might benefit most from the automated, algorithmic possibilities of AI tech – since both involve the coordination and handling of large amounts of data, and the need to navigate a spectrum of complicated compliance issues.
The proximity and interconnectivity of payroll and HR means that the role AI plays within both involves significant crossover. With that in mind, let’s explore ways in which AI tech is already playing a part in payroll and HR infrastructures – and how it is promising to dramatically change the way these processes are carried out…
AI & Human Experience
AI technology is advancing at pace – and with it, come associated concerns over the elimination of human expertise in payroll and HR. Although experts don’t see the end of the need for human administrators just yet, it’s time for businesses to start thinking more carefully about the role they want AI to play in the workplace.
It goes without saying, HR and payroll are one of the most personal aspects of business – which means humans must remain at the heart of the infrastructure your organisation builds to facilitate those processes. Taking the time to understand AI, and the role you want it to play within your business going forward, is the best way to unlock its benefits – while maintaining the trust, expertise and experience that connects your payroll and HR departments to your employees.
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Deep Bajaj got fed up of seeing his wife, mother & other women struggle with dirty public toilets. He decided to solve this real problem through a startup, and PeeBuddy was born. Faced with dirty loos, women can now stand & pee!
Episode.2 of चलो StartUp features this hero who built a real startup to solve a real problem. Rather than waste time on fancy ideas. If you’re thinking of doing a startup, do something REAL. Like Deep did.
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