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This question is a bit broad as the term "business information" is generic. As such, I will use the three sample companies in the question to define business information as company intelligence for sales, marketing, and business research. I am excluding credit as that has been posed as a separate challenge and operates with separate products from sales, marketing, and business research.To further refine the question, I am operationally defining incumbents as companies with revenue greater than $50 million and entered the sales and marketing products space over five years ago.INCUMBENTSAlong with Dun & Bradstreet (DNB), Experian, and Bureau van Dijk (BvD), I am also identifying LexisNexis (LN), Factiva, and Avention as incumbents. Here is a quick overview of each of the incumbents and their offerings:DNBDun & Bradstreet has been collecting company profiles since the 19th century. Their largest segment is Credit, but Sales & Marketing Services is their fastest growing division. DNB provides a varied set of products including Optimizer (batch company enrichment), Hoover's (company profiles), D&B360 (CRM connectors for sales), D&B Direct (API and marketing automation connectors), First Research (US industry overviews), Market Insight (hosted marketing database), and NetProspex (Contact hygiene and enrichment hub in the cloud). They also recently re-acquired D&B Credibility Corp which re-established their position in the SMB market. Of these products, Hoover's and Optimizer are probably the most vulnerable. Hoover's is geared more towards the bottom half of the sales intelligence market where there is significant competition from new entries while Optimizer is a cash cow, but run mostly as a batch service. DNB has indicated plans to build company matching into its NetProspex data hub so the Optimizer risk may be resolved before there is significant market loss.ExperianExperian is more focused on business and consumer credit than business information services. Business Marketing services include Experian Data Quality and digital marketing services. They do not offer a global business research or sales intelligence service.BvDBureau van Dijk provides a top-notch global company database which is available for financial analysis (ORBIS) and sales intelligence (MINT). They also market a set of Catalyst workflow products tied to specific analytical needs such as transfer pricing, valuation, and compliance (e.g. KYC, AML). ORBIS has probably the broadest set of global company financials. Other strengths include global company linkage (they track minority shareholdings), their Zephyr M&A database, original documents (e.g. private company registration forms), and financial analysis tools. Products are available at the global, regional, and country level. Geographically, BvD is strongest in Europe followed by the AsiaPacific region. They have gained little traction in the Americas outside of banking and insurance. Other vulnerabilities are their dated UIs, limited CRM connectors, and lack of marketing offerings.LNLexisNexis is owned by Reed Elsevier and offers two long-established product lines in the business research space: the Lexis line of legal products and the Nexis news database. Their Dossier Suite of products were launched about fifteen years ago and has a very dated user interface and limited workflow tools for sales, marketing, and business research. Dossier offers very deep content but has not received significant capital investment over the past decade. Around five years ago, they built their Prospect Portfolio service for sales reps, but it was late to the market and offers little that wasn't available from the established sales intelligence services.FactivaFactiva is owned by Dow Jones and provides the premier English multi-lingual news archive on the market. Along with company news, they sell a Companies & Executives (FC&E) database. FC&E was targeted to the upper end of the market where it competed against BvD and Avention. The offering, while quite good, never managed to significantly dislodge Avention and BvD. As such, they have slowed investment into the offering over the past few years.AventionAvention provides a global database of companies and executives for sales (iSell) and business research (Global Business Browser). In the past two years, they launched two offerings: The OneSource platform which supports sales and business research along with predictive analytics tools; and DataVision which provides a hosted marketing database for data enrichment and marketing analytics.CHALLENGERSSo now that I've delved into the incumbents, I see the challengers as coming from several corners. I have grouped them into the following categories: Crowdsourced datasets, semantically mined datasets, predictive analytics, and niche datasets.CROWDSOURCEDLinkedIn Sales NavigatorI am including Sales Navigator (SN) amongst the challengers because they only entered the sales intelligence space a few years ago but have SN revenue in the $150 million to $200 million range and see a billion dollar plus TAM (total addressable market) for the offering. They have quickly built out their sales team and have over 200 dedicated sales reps for SN. I don't believe that SN will hit their TAM because of several limitations specific to LinkedIn's crowdsourcing model. First, the service is view only. Users cannot download marketing lists or upload company or contact information to a CRM. This significantly decreases the value of SN for B2B sales and marketing. Second, they do not provide users with emails but instead force them to use InMail, a text only messaging system that lacks branding and templates. LinkedIn could invest in these tools, but then the volume of LinkedIn messaging would explode and annoy their members. Finally, virtually all contact information is personal emails which means that messages are received after hours or within LinkedIn browser and mobile apps.OwlerOwler employs a hybrid model of semantic mining, editorial review, and crowdsourcing. It has significant VC backing ($19.3 million), medium quality company profiles, three sales trigger categories (exec changes, funding, and M&A), high-precision news, and funding data. They are using crowdsourcing for company sizing, determining company competitors, and polling (e.g. CEO favorability; whether the firm will go bankrupt, be acquired, or IPO). Owler is a free service which is asking its user base to help build their company profiles. The plan is to eventually monetize the dataset by licensing it to companies and other data services. The big question is, can they build a sufficiently high quality database to monetize their user base? If so, they could be disruptive to company data in the same way as LinkedIn is disruptive to contact data (which basically drove down the price of bios). If they were to expand their sales trigger categories, they could also undermine the value of sales triggers.ZoominfoZoominfo combines crowdsourced emails and direct dial information against a database of mined companies and bios. They probably have the largest set of emails and direct dials for contacts which is a valuable asset. The firm struggled for years as it looked for a stable, long-term business model. Around 3-4 years ago, they began targeting the marketing services space offering data enrichment tools. This pivot (one of many over the years) has been very successful as they grew from low teens to $30 million over the past few years. They are now working on additional marketing automation and CRM connectors.PREDICTIVE ANALYTICSPredictive analytics for sales and marketing is an area of significant development. Analyst David Raab wrote in October, "2015 has been the breakout year for predictive analytics in marketing, with at least $242 million in new funding, compared with $376 million in all prior years combined."Raab VC Investment Chart: http://2.bp.blogspot.com/-YX3XgjiUhCg/VkTinh2z14I/AAAAAAAACMI/e4TaRRXf_9g/s400/predictive%2Banalytics%2Bfunding.jpgPredictive analytics companies generally license data from other vendors and build a database of business signals from their licensed structured and unstructured data. To a company's marketing database, they map firmographics and business signals to generate lead scores. These scores are available to both sales and marketing and help determine which leads are marketing qualified and which ones should be nurtured. The predictive companies also find net-new leads which are similar to a company's top customers and are beginning to provide product and messaging tips.Predictive companies include LeadSpace, Mintigo, 6Sense, Lattice Engines, Radius, Infer, SalesPredict, InsideSales, and Everstring. The market is still too young to predict which companies will be the eventual winners but all seem to be reporting rapid growth (off of small bases). InsideSales and Radius have the largest VC investments.Amongst the incumbents, Avention is the only firm that has invested in building out predictive tools. The other firms have not made any public investments in this space but could always acquire one of the companies. So far, Fliptop was acquired by LinkedIn and InsideSales acquired C9. Gartner Analysts Todd Berkowitz and Tad Travis complemented the C9 deal’s logic:Sales Acceleration Platform | Predictive Analytics | InsideSales.com offers strong predictive analytics offerings targeted to inside-sales teams for use higher in the sales funnel, with solutions for prospecting and lead scoring (NeuralView). C9’s focus is further down with a predictive opportunity solution for field sales (OppScore). When integrated, the combined offering will represent a comprehensive predictive sales analytics solution. With little overlap in either portfolio or customer base, there is ample opportunity to cross-sell additional modules. However, the combined company will need to bring the capabilities together into a single user interface.Both are driving the move beyond predictive analytics by offering prescriptive analytics capabilities. These will provide actionable recommendations to both sales managers and salespeople; integration will blend those capabilities. For example, C9’s next-best-action capability can become more powerful by leveraging NeuralView’s prescriptive models,” continued Gartner. “When integration is complete, existing C9 clients will benefit from Sales Acceleration Platform | Predictive Analytics | InsideSales.com’s advanced opportunity scoring capabilities including processing external buying signals gathered from social media channels.SEMANTIC MININGSemantic mining is increasingly becoming a method of data collection. The cost is quite low and semantic mining helps solve the data recency issue. Several of the previously discussed vendors employ semantic mining including Zoominfo (bios and company profiles), Owler (sales triggers, funding data), and the predictive analytics companies.To this list I would add the following companies:DataFoxDataFox originally focused heavily on providing investors with information about growing technology companies and financings, but recently entered the sales intelligence space with the launch of DataFox for Sales. DataFox for Sales’ primary information presentation model is lists. While companies can be viewed individually, the product focuses on company lists maintained by DataFox or sales reps. Lists include curated lists (e.g. Fast 500), conference attendees, and shared lists. The company can also identify similar companies based upon semantic analysis of the open web. Another differentiator is their DataFox proprietary predictive score which sums four subscores: Financing, HR, Influence, and Growth.MattermarkMattermark also focuses on rapidly growing companies. Last year they cancelled their last content license and moved to a semantically mined data model. They have a small set of editors for reviewing the results.UnomyProvides company profiles and news mined from the web. They also are list centric.Social123Rapidly growing Social123 mines social media sites (primarily LinkedIn) for contact data. They have several hundred million executive profiles with responsibilities, educational and work histories, etc. To this, they have matched emails. The database is available for licensing or enrichment. If LinkedIn chooses to sue them, it could quickly undermine the company. If not, Social123 could become a big player in the business information space, providing a backdoor method for obtaining LinkedIn intelligence.Whether the data mining model is viable is still TBD. Radius began as a mined company dataset with a focus on SMBs but pivoted into predictive analytics. GageIn mined company and contact data along with news alerts but failed to gain traction and folded last year.Another issue for data mining is completeness. Only half of SMBs have websites and mining fails to resolve key questions such as ownership (is this a company or a brand? if a brand, who owns it? if a subsidiary, who owns it?), company size, and whether the business is ongoing.NICHEOne strategy for business information providers is to develop niche offerings that gather deep info one or a few verticals. These datasets compete based upon data accuracy and industry specific fields not available in general business datasets.Two excellent examples are DiscoverOrg and RainKing that have built editorially researched technology profiles for the top global companies. Both cover approximately 50,000 companies with org charts, executive responsibilities, IT budgets, planned projects, and the firm's IT infrastructure (e.g. vendors and products). Both have globalized their coverage over the past two years and extended into other job functions (e.g. marketing and finance). Along with technology profiles, they have built connectors for CRMs and Marketing Automation Platforms.HG Data has had great success in semantically mining vendor and product data at the company level and then reselling it to predictive analytics companies and tech database vendors (they recently announced deals with DiscoverOrg and Aberdeen Group for populating these fields in their tech datasets).You will find these vertical datasets across many industries including healthcare, energy, banking, and insurance. Most of these are unlikely to directly threaten the incumbents, but building a data ecosystem (think of it as a data version of the Salesforce AppExchange) is beginning to happen. There are a number of these markets from the enterprise software companies on Microsoft Azure, Oracle (Oracle Marketing Cloud for Eloqua, BlueKai), Marketo LaunchPoint, Adobe Marketing Cloud, etc. SFDC indicated that their Accurate Business Information and Company Profiles from Leading Business Data - Data.com platform would build out a data exchange but appears to have backed off that idea. DNB has partnered with a dozen niche data vendors to provide D&B Data Exchange access through Optimizer and D&B Direct.OTHERInsideViewInsideView is a traditional sales intelligence vendor that has extended into marketing services (enrichment, prospecting). They also have built a powerful API that has been leveraged by a broad set of companies not looking to license and host company and contact datasets. When LinkedIn cut off their API last year to many vendors, InsideView stepped up and took over much of this business. InsideView offers a traditional sales intelligence offering combined with strong sales triggers, a buzz feed (social media), and a who-knows-who relationship finder that leverages your co-worker's contacts.BomboraBombora provides intent data collected from B2B media sites. Basically, they can tell you which topics are surging (of high interest) at companies. The data is anonymous, but knowing that employees at company X have significantly increased their searching on specific topics can be quite powerful for programmatic advertising, Account Based Marketing targeting, and predictive lead scoring. Bombora has licensed their content broadly across the predictive analytics space and signed deals with the D&B Data Exchange, DiscoverOrg, and the marketing clouds.I could keep going, but I'm already at 2,500 words. Other firms worthy of mention include DemandBase (programmatic advertising), ReachForce (Cloud hygiene and enrichment), SalesLoft Cadence (campaign management for sales development reps), QuotaFactory (similar to Cadence), DueDil (a rising sales intelligence database in the UK which is looking to expand across Europe), and Artesian Solutions (a UK social selling service which relies heavily on data mining).Note: I am a former Avention employee (2001 - 20010) and consult to a number of the vendors covered below. All information in this analysis is in the public domain.

“https://www.getapp.com/hr-employee-management-software/a/jibble/features/”“Jibble” is a time & attendance app with a 100% free plan.“Jibble Feature SummaryActivity monitoringActivity trackingAlertsAssignment managementAttendance trackingAudit trailBillable & non-billable hoursCheck in/out of workClient billingCollaborationCustom reportsDaily, weekly & monthly timesheetsEmployee managementInvoice managementJob costingManual time entryMobile time trackingPasscodesPayroll managementProject time trackingRemindersReporting & statisticsRole-based permissionsSelfie verificationSlack integrationTime tracking by clientTimesheet exportTime-sheet managementHR & Employee Management Feature ComparisonMost popular features of all HR & Employee Management appsAPI (461 other apps). Activity Dashboard (387 other apps) ✅. Activity Tracking (235 other apps) ✅. Applicant Tracking (295 other apps). Automatic Notifications (361 other apps). Customizable Branding (284 other apps). Customizable Reporting (287 other apps) ✅. Data Import/Export (270 other apps) ✅. Employee Database (251 other apps). Employee Management (312 other apps) ✅. Employee On-boarding (230 other apps). Employee Portal (243 other apps). Employee Self Service (234 other apps). Performance Management (225 other apps). Real Time Reporting (242 other apps). Recruitment Management (241 other apps). Reminders (252 other apps) ✅. Reporting & Statistics (412 other apps) ✅. Self Service Portal (275 other apps). Third Party Integration (306 other apps) ✅.FeatureJIBBLEAPI. Absence Management. Access Control ✅. Activity Dashboard ✅. Activity Tracking ✅. Alerts / Escalation ✅. Approval Process Control. Attendance Management ✅. Attendance Tracking ✅. Audit Trail ✅. Authentication ✅. Automatic Notifications. Billable Hours Tracking ✅. Bio-metrics ✅. Calendar Management. Calendar Sync with Google. Client Management ✅. Collaboration Tools ✅. Commenting. Custom Fields. Customizable Reporting ✅. Customizable Templates. Data Import/Export ✅. Document Management. Document Storage ✅. Employee Database. Employee Management ✅. Employee Portal. Feedback Collection. Goal Setting / Tracking. HR Management. Job Costing ✅. Manual Time Entry ✅. Mobile Integration. Organizational Charting. Overtime Calculation ✅. Overtime Tracking ✅. Password Management ✅. Payroll Management ✅. Permission Management ✅. Project Time Tracking ✅. Real Time Notifications. Real Time Updates. Receiving ✅. Records Management. Reminders ✅. Reporting & Statistics ✅. Role Management. Role-Based Permissions ✅. SSL Security. Search Functionality. Task Management. Task Tracking. Team Calendars. Third Party Integration ✅. Time & Expense Tracking ✅. Time Clock ✅. Time-sheets ✅.”

#Question: Do data science MOOC certificates add value to a resume. Tips and tricks to answer the question: #Do data science MOOC certificates add value to a resume.7 SECRETS TO WRITE A KILLER RESUME=>1. THINK OF YOUR RESUME AS A MARKETING TOOLIt’s easy to think of your resume as a summary of your work experience. But a resume isn’t just about listing your professional history. Rather, it’s a strategic tool for marketing your individual brand.Consider the perspective of a recruiter. The recruiter is seeking a candidate who fits a job description and can bring value to an organization. They don’t have time to delve into your resume and figure out who you are, so you need to connect the dots for them.As you build a resume, think strategically. Consider what you’ve accomplished in the past and what you can offer in the future. Make sure your resume tells a clear story about who you are as a professional.—→Related post: Free ebook 395 interview questions with answers pdfDownload link: resume123. org/2018/06/free-book-395-interview-questions-with-answers-pdf.html=>2. IDENTIFY ACCOMPLISHMENTS NOT JUST JOB DESCRIPTIONSHiring managers, especially in technical fields like engineering, seek candidates that can help them solve a problem or satisfy a need within their company. Consequently, you can’t be a solution to their problems without stating how you solved similar problems in other companies and situations.*Focus on what you did in the job, NOT what your job was there’s a difference*Include a one or two top line job description first, then list your accomplishments*For each point ask yourself, What was the benefit of having done what I did?*Accomplishments should be unique to you, not just a list of what someone else did*Avoid using the generic descriptions of the jobs you originally applied for or held—→Related post: free 32 resume templatesDownload link: 32ResumeTemplates.blogspot .com=>3. TAILOR YOUR RESUME TO EACH NEW JOBAlong similar lines, you won’t have much luck sending off dozens of the same resume to lots of different employers. Instead of treating your resume like a form letter, tailor it to each new role.“One of the most common resume mistakes … is creating one single resume and sending it out to every hiring company they can find,” said career expert Jason Hill, founder of Sound Advice. “I call this the ‘shotgun approach.’ Do not do this.”Instead, research the company and read the job description closely. Figure out exactly what the organization is looking for, then reflect those qualifications in your resume.—→Related post: 35 tips to prepare for your job interviewsLink: 35JobInterviewTips.blogspot. com=>4. QUANTIFY YOUR ACCOMPLISHMENTSQ: What’s the most common resume mistake?A: Making too many general claims and using too much industry jargon that does not market the candidate. A resume is a marketing document designed to sell your skills and strengths rather than just portray a bio of the candidate.*Include and highlight specific achievements that present a comprehensive picture of your marketability*Quantify your achievements to ensure greater confidence in the hiring manager and thereby generate interest percentages, dollars, number of employees, etc.*Work backwards to quantify your accomplishments by asking, If I had not done X, what could have happened?=>5. REPLACE YOUR OBJECTIVE” WITH A “CAREER SUMMARY”A Career Summary is designed to give a brief overview of who you are and what you do. Most Objectives sound similar: Seeking a challenging, interesting position in X where I can use my skills of X, Y, and Z to contribute to the bottom line. Not telling at all.*Grab a hiring manager’s attention right from the beginning, remembering you*Have only 25 few seconds to make a good impression*Spend time developing a summary that immediately gets their attention, and accurately and powerfully describes you as a solution to their problems=>6. NETWORK. NETWORK. NETWORK.For unemployed candidates, handing out resumes should be a full-time job. The majority of mid*to senior-level positions are filled through networking, so contact absolutely everyone you know in addition to recruiters who are in a position to hire you or share insights.=>7. RESUME KEYWORDS:Many recruitment agencies (and indeed, some larger companies) use special software to scan applications for certain words and phrases, which are called ‘keywords’. To maximise your resume’s chances of being found, it’s a good idea to make sure your resume contains key words from the job description, or from your role and industry, to ensure it passes the first round of checks. Common keyword examples include ‘project management’, ‘business development’, ‘customer service’, ‘account manager’, ‘software development’ and ‘leadership’, amongst many others. Look closely at relevant job listings to see which words are repeated, and weave them into your resume and cover letters.