June 2017

Wednesday 14 June 2017

Record Soybean Crop Supports Brazil Real as FOB and Futures Diverge - Bloomberg


Brazil’s 12-month trade balance set a record in May, and exports from a booming soybean crop have played a major role in the gains. The strong trade balance has in turn boosted Brazil’s real, and that carries a trickle-down effect on prices because soybean exports are quoted in dollars.

Brazil, Argentina and the U.S. together produce about 90 percent of the world’s soybeans. Export prices from all three have tended to move together. And even with the surging crop and record inventories globally, forecasters say the supply isn’t expected to meet the world’s demand.

“Demand is just silly good,” Dale Durchholz, senior market analyst at AgriVisor, said in May. “The world economy is improving, and as incomes rise, consumers demand more meat, dairy and eggs. Traders have underestimated demand while focusing on the big supply.”

The Issue

Global soybean prices fell on May 17 after news of a new political scandal in Brazil. Soybean prices have continued to move together since then, including free-on-board prices at the primary export ports for the Big 3 producers. However, a tools analysis shows futures prices on the Chicago Mercantile Exchange have fallen even faster, suggesting a more bearish view of the soybean market and also of the outlook for the real.



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the Money is Easy prove after Neustar’s 2017 Worldwide DDoS Attacks


Counting on the ethics of an attacker is a very bad strategy for DDoS mitigation. 

Based on the analysis in Neustar’s 2017 Worldwide DDoS Attacks and Cyber Insights Research Report, you can expect the level of havoc raised by DDoS attackers to continue soaring.

Consider these statistics from Neustar’s DDoS Security Operations Center 

  1. Comparing Q1’17 to the same period in 2016, mitigations nearly doubled
  2. Attack volume was up even higher than last year
  3. Multi-vector attacks more than tripled
  4. Average size of attacks was higher

The rising bandwidth consumed by DDoS attacks is a sign that hackers have incredibly powerful tools, which gives them plenty of “firewood” to start five-alarm blazes all over the internet. The report shows that just 17% of attacks are under a gigabyte in size. 

About half (47%) are between 1 and 20 Gbps. And 28% are over 20 Gbps.

The tools enabling these monster attacks include malware and botnet code targeting DNS vectors, DNSSEC domains and complex TCP SYN flood attacks. With so many more resources that can be easily marshaled, both economically and electronically, it’s little wonder attacks have become more determined and more dangerous.

And there’s very little out there to discourage hackers from using these readily available tools. Many hackers operate in nation states that leave hackers alone – especially when the bad guys have threatened weak or non-existent law enforcement with swift retribution if anyone goes after the criminals. In essence, DDoS attackers are globally operating at will.

Many DDoS attacks are launched for easy money. We see this almost on a weekly basis worldwide. 

The DDoS attack is really used as a smokescreen to sneak into a network for other nefarious reasons. In 43% of the attacks, malware was activated . And one of the most nefarious types of malware is ransomware, which occurred in 23% of attacks – it’s fallout is being experienced globally by all types of businesses. When ransomware strikes a target, the organization must pay electronic cash in exchange for unlocking its data. DDoS attacks are highly profitable.

In a way, the research shows that we’ve entered a new phase of DDoS attacks. Cyber criminals used to launch DDoS attacks simply for disruption and chaos as they crippled websites and stopped online commerce. Now the attackers are getting smarter, using DDoS to generate cash for their own coffers.







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Major US Banks Have Invested in Fintech


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Since 2012, the top ten US banks by assets under management have participated in 72 rounds totaling $3.6B to 56 fintech companies.

While investment activity dropped on a quarterly basis in Q1’17, four of the last five quarters have seen over $1B invested into VC-backed US fintech startups.

US banks and their venture arms have been active investors in the private company fintech ecosystem. We used CB Insights data to visualize the fintech investments of the top ten US banks by assets. Specifically, we looked at investment activity from 2012 – 2017 year-to-date.

Key takeaways

Since 2012, the top ten US banks by assets under management have participated in 72 rounds totaling $3.6B to 56 fintech companies.
Ranked by the number of unique portfolio companies, the cohort’s three most active investors are Citi, Goldman Sachs, and JP Morgan Chase — in that order. Citi (including Citi Ventures) participated in 30 rounds to 22 companies, Goldman Sachs in 31 rounds to 25 companies, and JP Morgan Chase in 14 rounds to 13 companies. We also took a different view of these three firms using CB Insights’ Business Social Graph and highlighted where all three co-invested:

Goldman Sachs is focusing on payments, investing in six companies in the space. Between 2012 and 2017 year-to-date, the firm participated in eight financing rounds totaling about $570M. Vietnam-based MoMo operates a mobile wallet and offers branchless banking services for traditionally unbanked individuals and has raised nearly $34M in two rounds with participation from Standard Chartered and Goldman Sachs. Goldman was also the only one of the cohort to invest in real estate fintech companies, namely Cadre and Better Mortgage.

All ten banks have blockchain investments. Eight of the ten became part of R3, a banking blockchain consortium, although Goldman Sachs, JP Morgan Chase, and Morgan Stanley have since exited the consortium.

Although the second largest bank by assets, Bank of America takes the sixth spot on this list, with only six fintech companies in its portfolio. additionally, Bank of America was the only member of this cohort to invest in Bill.com, participating in the company’s $38M Series E. The payments processing platform is valued at nearly $268M, having raised $123M in funding.

Kensho saw lots of overlapping interest, with six of the cohort investing in its $50M Series B, which valued the company at $500M. Kensho applies data analytics and machine learning to financial research.

Margin plus Trading for day 14 June 2017


In Day Trade i made some Margin plus activities

Target stock - 

  • Wipro
  • Lic housing 
  • BPCL
  • Just dial


with 9.45 am, i look for  chance to enter market to make large but unlikely.

On Lic housing i thought, earn some but lot of voilty cause yesterday its touch fresh high.

BPCL going down , for looking support level purchase at 691 wait for 697, unlikely only earn 3.5 per share.

Just dial - no profit no loss - but brokerage all .075% by icici direct ( all tax sum up)

And Sold LIC housing on Contract BSE-90 with INR 15 per share with less Qty.


Tommorrow pick 


  1. TATA motors
  2. Wipro
  3. Just dial


thanks, 

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Expand Your Marketing Funnel


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Organizing Your Marketing Tech Stack, Beyond BANT, and More – Raise The Bar

https://twitter.com/thinker

Boston’s Growing Startup Landscape

Entrepreneurs often flock to Silicon Valley to start a company because of the number of venture capital firms and angel investors and the community’s appetite for new companies. But other cities across the world, including Stockholm, Portland, and Boston, are gaining a stronger startup reputation and increasing the number of startups and amount of VC funding.

Boston, in particular, has startup legs, and its growth has huge implications for investors, entrepreneurs, and salespeople.



Always Be Closing Sales

Jacco Van der Kooij of Winning By Design offers what he calls a “modernized version” of BANT that can be applied to Inside Sales Teams (SDRs, AEs) that deal with recurring revenue deals in “BANT and Beyond: Advanced Sales Qualification for SDRs & AEs”

SaaS Metrics Survey

Are you ready to raise your next round? Take our survey to help measure and benchmark the metrics vital to a SaaS company’s success. Answers will be compiled and sent to participants this summer. Go here to take the survey.

Expand Your Marketing Funnel

Kobie Fuller of Upfront Ventures aims to help marketers better make sense on how to potentially organize the plethora of marketing tools and get closer to achieving cross-channel marketing in “Organizing Your Marketing Tech Stack”

Marcus Taylor of VentureHarbour focuses his in-depth, four-part guide on both customer acquisition and improving your product-market fit in “The Ultimate Startup Marketing Strategy”

Grow Up and To The Right

Darius Contractor of Dropbox presents his framework for how user psychology has driven growth at companies like Bebo, Tickle, PhotoSugar and of course, Dropbox in “Psych’d: A New User Psychology Framework for Increasing Funnel Conversion”

Edward Ford of Advance B2B digs into “The Mission Matrix”, a framework to map out your go-to-market plan, helps you understand where you are located in the matrix, and gives a case example of this matrix in the marketing automation field in “The Mission Matrix: Your B2B SaaS Go-To-Market Strategy”

Make Your Sales Data a Lot Better with a Little Discipline - Jim Fowler


Business intelligence is projected to grow to a nearly $26.9 billion industry by 2021, but its solutions are only as good as the data behind it. IBM determined that inaccurate data took a $3.1 trillion bite out of the U.S. economy in 2016. That’s why decision makers require spot-on data and efficient, streamlined systems to maintain it. Otherwise, they’ll end up with what I call a “rat’s nest”: dirty, duplicate, or dead information that obscures useful insights for making smart decisions.

Too many sales teams (and other departments) enter data by hand but create fresh entries instead of searching their systems and updating existing accounts, which muddies their data sets. Manual data entry isn’t ideal — it can be costly, time-consuming, and open to misinterpretation.

Let’s say a prospect from IBM fills out a website lead form and enters “IBM” instead of the full company name. And let’s say that an account existed under the full name, International Business Machines Corporation, so that the entry listed under the abbreviation results in data fragmentation and confusion. Next come duplicate account records with notes, tasks, and contact information haphazardly attached — a total rat’s nest.

The best way to keep data clean is to use a globally known, unique identifier, or a “data backbone.” My company prefers to use URLs as identifiers. They’re free, globally recognizable, high-quality data points that enable you to efficiently gather information on a business’s industry, online activities, and functionality. For example, Cisco is a company that also goes by Cisco Systems, Inc. and Cisco Precision Tools. 

If sales containers required users to type in one unique URL, www.cisco.com, for all those different branches, it’d be much more difficult to create duplicate accounts, which helps keep data clean. Perhaps more important, URLs facilitate communication between people, systems, and even departments. 

Whether it’s the customer relationship management platforms used by sales teams, enterprise resource planning software used by purchasing teams, or the account-based marketing technology employed by marketing teams, the business intelligence platform can recognize a unique URL and attach it to clean, usable data. Unique identifiers let you know you’re pulling from the sources and contacts you’ve intended to track.

Establishing a data backbone is one part of the business intelligence equation, but fleshing out the ribs (contact information, credit history, competitive intelligence, etc.) can make data seem overwhelming without a good process for managing it. The following strategies can help you improve your business intelligence through better data management:

Clean house on marketing and sales contacts

Organizations of all stripes can use their primary identifiers (their backbones — in the above example, URLs) to make sure their sales and marketing teams work from a unified contacts list. Businesses should remove duplicate accounts from data sets, so that marketing, sales, and other departments can work more cohesively when reaching out to prospects. For example, Amnesty International integrated its firmographic data and improved donor relations by avoiding multiple solicitations, which made for timelier campaigns. Using only the most relevant, searchable information, and then assigning it a unique identifier, helps tidy up data for more effective work.

Coordinate communication around industry news and events. 

A business’s competitive data should include opportunities to boost communication on the basis of events and industry happenings. For example, our clients in the sales enablement space draw on our competitive graph, firmographic data, and news alerts to identify trigger events for their users. Say you’re a mobile phone provider looking to roll out a new bundled internet and phone plan at a competitive price. Using data to compile national averages of usage and monthly payments, a sales team can craft its promotional material and pitches around what its product does that the competition does not. Our company’s daily snapshot uses blogs, articles, and other information to detail where a company is positioned in its competitive field. You can take a similar approach by arming sales with valuable information for engaging with prospects.

Identify potential prospects according to current clients 

Use a competitive relationship graph and firmographic data to help you find new opportunities based on your previous successes. Sales reps can identify lookalike companies, those with profiles similar to existing accounts, to discover other companies that generate similar revenue or that compete in the same space. Pinpointing these possible competitors helps identify prospects faster and more efficiently. This also works for identifying expansion opportunities and new markets. One baby clothing retailer in the UK used business intelligence on sales performance to determine which items to stock in each store and where to potentially expand to new locations.

Map and categorize incoming leads

Segmentation is critical in account-based marketing, so it’s important to accurately categorize leads entering your funnel. Attributes recorded in the data system will then direct your marketing team to which leads it should target with certain campaigns. Companies that tailor their strategies this way see increased conversion rates, lower churn, and high customer satisfaction. 

SM Marketing Convergence Inc., a retail-affiliated marketing company in the Philippines, used business intelligence and visual analytics tools to process more than 200 million transactions made across 500 stores within a year. The report showed what tactics worked and how to segment future leads.

Clean data construction is the way forward, and to ignore the need is to sacrifice your competitive edge. A strong backbone is the key to riding the growing data wave to prosperity.

Jim Fowler is founder and CEO of Owler, writer of this blog a community-based business insights platform. Prior to Owler, Jim founded Jigsaw in 2003 and was CEO until it was acquired by Salesforce in 2010.


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Monday 12 June 2017

How a Data Center Works from Data Perspective


“Data Center” 
Well judging by the above, you may see that the Data Centers sector is going BOOM as we speak! Before going further ahead, let’s consider what exactly they are. 

Data Centers are highly specialized environments specifically organized for safeguarding a company’s most valuable equipment and intellectual property. It is considered very essential in undertaking storage and management of huge data (or simply called ‘Big Data’ in this marketing day-and-age) and information. 

Nowadays, Data Centers continue to be the main service hub to drive innovation with a new paradigm for business agility and response.

Though this industry and in general the number of data centers are blossoming, information related to them is not quite handy. There are close to hundreds of thousands of data centers currently present and more than hundred being added up in a quarter across the globe which are next to impossible to track and follow up on for every organization. 

Apart from this, many facets of a data center need constant requirement of external resources such as hardware & software management, fire safety providers, electrical & power controllers, energy efficient switches, UPS & Generators, etc. to drive its day-to-day executions.

Wouldn’t it be just great if you could get all this info straight away which would help you to target and reach them ahead of your or any competition? 
Though our unique DaaS suite, we have successfully helped our enterprise clients with vital insights on the upcoming data centers along with complete information about the decision makers and influences. 

This has aided our clients in reaching out to the correct people at the correct time resulting in maximum business ROI from their marketing and sales outreach. Along with this, we also help to build/refine contact data with up-to-date, relevant and accurate contact information for every targeted business, including generating the names of multiple decision makers/influences at each organization as per their demand.


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